The Complete Android 16 Course [Part 3] - Become a Master [12/2025, ENG]
movies, software, shows...
Files
| 1 - Google Maps with Jetpack Compose | |||
| 1. Introduction to Google Maps.mp4 | 289.29 MB | ||
| 1. Introduction to Google Maps_en-US.srt | 7.7 KB | ||
| 2. Google Maps project & API Key.mp4 | 88.05 MB | ||
| 2. Google Maps project & API Key_en-US.srt | 5.64 KB | ||
| 3. Restricting API Key.mp4 | 43.61 MB | ||
| 3. Restricting API Key_en-US.srt | 3.13 KB | ||
| 4. Adding Google Maps Dependency.mp4 | 20.22 MB | ||
| 4. Adding Google Maps Dependency_en-US.srt | 1.55 KB | ||
| 5. Google Maps Composable Function.mp4 | 45.6 MB | ||
| 5. Google Maps Composable Function_en-US.srt | 5.51 KB | ||
| 6. Latitude & Longitude.mp4 | 41.94 MB | ||
| 6. Latitude & Longitude_en-US.srt | 1.92 KB | ||
| 7. Initial Camera Position.mp4 | 115.31 MB | ||
| 7. Initial Camera Position_en-US.srt | 6.47 KB | ||
| 8. Types of Maps.mp4 | 35.98 MB | ||
| 8. Types of Maps_en-US.srt | 2.55 KB | ||
| 10 - Python Loops & Conditionals | |||
| 123. Section Intro.mp4 | 11.77 MB | ||
| 123. Section Intro_en-US.srt | 995 B | ||
| 124. 1- Python Training.zip | 1.55 MB | ||
| 124. Conditional Statements.mp4 | 32.46 MB | ||
| 124. Conditional Statements_en-US.srt | 3.95 KB | ||
| 125. For Loops.mp4 | 30.73 MB | ||
| 125. For Loops_en-US.srt | 3.47 KB | ||
| 126. While Loops.mp4 | 30.78 MB | ||
| 126. While Loops_en-US.srt | 3.22 KB | ||
| 127. Lists.mp4 | 48.23 MB | ||
| 127. Lists_en-US.srt | 4.96 KB | ||
| 128. Functions.mp4 | 55.2 MB | ||
| 128. Functions_en-US.srt | 6.03 KB | ||
| 129. Practice Exercise.mp4 | 23.12 MB | ||
| 129. Practice Exercise_en-US.srt | 2.43 KB | ||
| 130. Section Recap.mp4 | 6.74 MB | ||
| 130. Section Recap_en-US.srt | 712 B | ||
| 11 - Python Dictionaries & Files | |||
| 131. 1- Python Training.zip | 1.55 MB | ||
| 131. Section Intro.mp4 | 13.68 MB | ||
| 131. Section Intro_en-US.srt | 1.18 KB | ||
| 132. Dictionnaries Data Structure.mp4 | 41.76 MB | ||
| 132. Dictionnaries Data Structure_en-US.srt | 4.89 KB | ||
| 133. Try & Except.mp4 | 26.14 MB | ||
| 133. Try & Except_en-US.srt | 2.82 KB | ||
| 134. Reading & Writing File IO.mp4 | 52.4 MB | ||
| 134. Reading & Writing File IO_en-US.srt | 5.5 KB | ||
| 135. To Do List Program [Part 1].mp4 | 65.75 MB | ||
| 135. To Do List Program [Part 1]_en-US.srt | 6.8 KB | ||
| 136. To Do List Program [Part 2].mp4 | 53.42 MB | ||
| 136. To Do List Program [Part 2]_en-US.srt | 5.43 KB | ||
| 12 - Python Data Analysis | |||
| 137. 1- Python Training.zip | 1.55 MB | ||
| 137. Section Intro.mp4 | 8.15 MB | ||
| 137. Section Intro_en-US.srt | 907 B | ||
| 138. Pandas Library.mp4 | 31.38 MB | ||
| 138. Pandas Library_en-US.srt | 2.53 KB | ||
| 139. Data Frames.mp4 | 42.71 MB | ||
| 139. Data Frames_en-US.srt | 3.72 KB | ||
| 140. Using Data Frames.mp4 | 48 MB | ||
| 140. Using Data Frames_en-US.srt | 4.12 KB | ||
| 141. Filtering Data Based on Conditions.mp4 | 16.87 MB | ||
| 141. Filtering Data Based on Conditions_en-US.srt | 1.7 KB | ||
| 142. Data Visualization with Matplot.mp4 | 35.11 MB | ||
| 142. Data Visualization with Matplot_en-US.srt | 3.21 KB | ||
| 143. Companies Stock Price.mp4 | 85.21 MB | ||
| 143. Companies Stock Price_en-US.srt | 5.93 KB | ||
| 144. Section Recap.mp4 | 8.06 MB | ||
| 144. Section Recap_en-US.srt | 929 B | ||
| 13 - Machine Learning with Python | |||
| 145. 1- Python Training.zip | 1.55 MB | ||
| 145. Machine Learning Libraries.mp4 | 45.44 MB | ||
| 145. Machine Learning Libraries_en-US.srt | 4.33 KB | ||
| 146. Generating Random Data.mp4 | 61.77 MB | ||
| 146. Generating Random Data_en-US.srt | 5.23 KB | ||
| 147. Ploting Data on Chart.mp4 | 59.64 MB | ||
| 147. Ploting Data on Chart_en-US.srt | 5.32 KB | ||
| 148. Preparing Data - [Data Splitting].mp4 | 57.95 MB | ||
| 148. Preparing Data - [Data Splitting]_en-US.srt | 4.63 KB | ||
| 149. Training the Model.mp4 | 68.81 MB | ||
| 149. Training the Model_en-US.srt | 6.25 KB | ||
| 150. Evaluating our Model.mp4 | 79.1 MB | ||
| 150. Evaluating our Model_en-US.srt | 5.49 KB | ||
| 151. Actual vs Predicted Prices.mp4 | 47.68 MB | ||
| 151. Actual vs Predicted Prices_en-US.srt | 4.36 KB | ||
| 152. Testing our Model.mp4 | 28.54 MB | ||
| 152. Testing our Model_en-US.srt | 2.5 KB | ||
| 14 - House Price Predition App - [Python + Tensorflow + Android Compose] | |||
| 153. 1- Python Training.zip | 1.55 MB | ||
| 153. House Price Prediction App Promo.mp4 | 41.69 MB | ||
| 153. House Price Prediction App Promo_en-US.srt | 4.09 KB | ||
| 154. Steps to Use TensorFlow.mp4 | 39.84 MB | ||
| 154. Steps to Use TensorFlow_en-US.srt | 6.45 KB | ||
| 155. Generating Same Random Dataset.mp4 | 55.77 MB | ||
| 155. Generating Same Random Dataset_en-US.srt | 5.91 KB | ||
| 156. 1- Python Training.zip | 1.55 MB | ||
| 156. Generating Random Dataset in Python.mp4 | 39.04 MB | ||
| 156. Generating Random Dataset in Python_en-US.srt | 3.23 KB | ||
| 156. [TensorFlow] T1- HousePriceMLApp.zip | 56.05 MB | ||
| 157. Converting Numpy to Dataframes.mp4 | 62.32 MB | ||
| 157. Converting Numpy to Dataframes_en-US.srt | 4.74 KB | ||
| 158. Reshaping Data - Converting 1D to 2D Arrays.mp4 | 45.92 MB | ||
| 158. Reshaping Data - Converting 1D to 2D Arrays_en-US.srt | 4.35 KB | ||
| 159. Tensorflow for Linear Regressions.mp4 | 16.8 MB | ||
| 159. Tensorflow for Linear Regressions_en-US.srt | 2.66 KB | ||
| 160. Building TensorFlow Model.mp4 | 37.56 MB | ||
| 160. Building TensorFlow Model_en-US.srt | 2.73 KB | ||
| 161. Compiling the Model.mp4 | 50.07 MB | ||
| 161. Compiling the Model_en-US.srt | 4.51 KB | ||
| 162. Model Summary.mp4 | 30.01 MB | ||
| 162. Model Summary_en-US.srt | 2.83 KB | ||
| 163. Training Tensorflow Model.mp4 | 46.8 MB | ||
| 163. Training Tensorflow Model_en-US.srt | 3.78 KB | ||
| 164. The Trained Equation.mp4 | 69.16 MB | ||
| 164. The Trained Equation_en-US.srt | 5.19 KB | ||
| 165. Ploting the results.mp4 | 30.64 MB | ||
| 165. Ploting the results_en-US.srt | 2.6 KB | ||
| 166. Evaluating the Model.mp4 | 30.53 MB | ||
| 166. Evaluating the Model_en-US.srt | 3.16 KB | ||
| 167. Exporting the Model.mp4 | 57.54 MB | ||
| 167. Exporting the Model_en-US.srt | 4.7 KB | ||
| 168. Loading the Exported Models.mp4 | 47.28 MB | ||
| 168. Loading the Exported Models_en-US.srt | 4.11 KB | ||
| 169. Exporting TFLITE models.mp4 | 95.97 MB | ||
| 169. Exporting TFLITE models_en-US.srt | 6.96 KB | ||
| 170. Tensorflow Meets Android.mp4 | 51.76 MB | ||
| 170. Tensorflow Meets Android_en-US.srt | 3.98 KB | ||
| 171. Designing the UI.mp4 | 60.24 MB | ||
| 171. Designing the UI_en-US.srt | 4.59 KB | ||
| 172. Adding Tensorflow Model.mp4 | 22.57 MB | ||
| 172. Adding Tensorflow Model_en-US.srt | 1.82 KB | ||
| 173. Tensorflow Helper Class.mp4 | 34.8 MB | ||
| 173. Tensorflow Helper Class_en-US.srt | 2.84 KB | ||
| 174. Loading Tensorflow Model.mp4 | 50.21 MB | ||
| 174. Loading Tensorflow Model_en-US.srt | 3.89 KB | ||
| 175. Running the Model.mp4 | 70.04 MB | ||
| 175. Running the Model_en-US.srt | 5.96 KB | ||
| 176. Closing Interpreter.mp4 | 16.6 MB | ||
| 176. Closing Interpreter_en-US.srt | 1.68 KB | ||
| 177. Making Predictions.mp4 | 49.06 MB | ||
| 177. Making Predictions_en-US.srt | 3.19 KB | ||
| 178. Running the App.mp4 | 23.55 MB | ||
| 178. Running the App_en-US.srt | 1.9 KB | ||
| 15 - Car Mileage Prediction App - Complex Linear Regression | |||
| 179. 1- Python Training.zip | 1.55 MB | ||
| 179. Car MPG Prediction App Promo.mp4 | 78.27 MB | ||
| 179. Car MPG Prediction App Promo_en-US.srt | 5.42 KB | ||
| 180. Tensorflow model architecture.mp4 | 47.91 MB | ||
| 180. Tensorflow model architecture_en-US.srt | 6.7 KB | ||
| 180. [TensorFlow] T2- CarMPGAPP.zip | 56.73 MB | ||
| 181. Learning Objectives.mp4 | 13.11 MB | ||
| 181. Learning Objectives_en-US.srt | 1.38 KB | ||
| 182. Necessary Libraries.mp4 | 82.59 MB | ||
| 182. Necessary Libraries_en-US.srt | 7.01 KB | ||
| 183. Standard Scaler.mp4 | 34.52 MB | ||
| 183. Standard Scaler_en-US.srt | 2.88 KB | ||
| 184. Exploring Dataset.mp4 | 110.32 MB | ||
| 184. Exploring Dataset_en-US.srt | 7.43 KB | ||
| 185. Handling Missing Values.mp4 | 45.35 MB | ||
| 185. Handling Missing Values_en-US.srt | 3.92 KB | ||
| 186. Statistical Summary.mp4 | 26.94 MB | ||
| 186. Statistical Summary_en-US.srt | 2.02 KB | ||
| 187. Visualizing Target Variable.mp4 | 41.58 MB | ||
| 187. Visualizing Target Variable_en-US.srt | 3.61 KB | ||
| 188. Feature Correlation Heatmap.mp4 | 68.44 MB | ||
| 188. Feature Correlation Heatmap_en-US.srt | 7.33 KB | ||
| 189. Splitting Features & Targets.mp4 | 20.59 MB | ||
| 189. Splitting Features & Targets_en-US.srt | 1.7 KB | ||
| 190. One-Bot Encoding.mp4 | 34.96 MB | ||
| 190. One-Bot Encoding_en-US.srt | 2.74 KB | ||
| 191. Splitting Dataset into Training & Testing.mp4 | 36.07 MB | ||
| 191. Splitting Dataset into Training & Testing_en-US.srt | 3.27 KB | ||
| 192. Feature Scaling.mp4 | 82.42 MB | ||
| 192. Feature Scaling_en-US.srt | 7.7 KB | ||
| 193. Model Layers.mp4 | 59.01 MB | ||
| 193. Model Layers_en-US.srt | 5.46 KB | ||
| 194. Compiling the Model.mp4 | 35.87 MB | ||
| 194. Compiling the Model_en-US.srt | 3.39 KB | ||
| 195. Model Summary.mp4 | 31.63 MB | ||
| 195. Model Summary_en-US.srt | 2.79 KB | ||
| 196. Model Training & Early Stopping.mp4 | 66.29 MB | ||
| 196. Model Training & Early Stopping_en-US.srt | 5.85 KB | ||
| 197. Evaluating Model Performance.mp4 | 56.98 MB | ||
| 197. Evaluating Model Performance_en-US.srt | 4.82 KB | ||
| 198. MSE & MAE.mp4 | 39 MB | ||
| 198. MSE & MAE_en-US.srt | 3.43 KB | ||
| 199. Predictions vs Actual Values.mp4 | 26.61 MB | ||
| 199. Predictions vs Actual Values_en-US.srt | 2.78 KB | ||
| 200. Making Predictions.mp4 | 44.62 MB | ||
| 200. Making Predictions_en-US.srt | 3.83 KB | ||
| 201. Exporting the model as Tflite.mp4 | 15.76 MB | ||
| 201. Exporting the model as Tflite_en-US.srt | 1.28 KB | ||
| 202. Adding Tensorflow model to Android App.mp4 | 40.89 MB | ||
| 202. Adding Tensorflow model to Android App_en-US.srt | 3.03 KB | ||
| 203. Car Mileage Predictor Screen.mp4 | 32.34 MB | ||
| 203. Car Mileage Predictor Screen_en-US.srt | 2.82 KB | ||
| 204. Car Features Data Class.mp4 | 34.32 MB | ||
| 204. Car Features Data Class_en-US.srt | 2.9 KB | ||
| 205. Car Feature TextField.mp4 | 45.73 MB | ||
| 205. Car Feature TextField_en-US.srt | 3.83 KB | ||
| 206. User TextField.mp4 | 79.06 MB | ||
| 206. User TextField_en-US.srt | 7.19 KB | ||
| 207. Origin Card.mp4 | 57.11 MB | ||
| 207. Origin Card_en-US.srt | 4.43 KB | ||
| 208. Final UI Touches.mp4 | 85.4 MB | ||
| 208. Final UI Touches_en-US.srt | 6.84 KB | ||
| 209. Prediction Result Card.mp4 | 41.46 MB | ||
| 209. Prediction Result Card_en-US.srt | 3.23 KB | ||
| 210. Validation Errors.mp4 | 40.09 MB | ||
| 210. Validation Errors_en-US.srt | 2.58 KB | ||
| 211. Input & Output Shapes of our Model.mp4 | 63.71 MB | ||
| 211. Input & Output Shapes of our Model_en-US.srt | 5.13 KB | ||
| 212. Loading Tensorflow Model.mp4 | 87.75 MB | ||
| 212. Loading Tensorflow Model_en-US.srt | 6.05 KB | ||
| 213. Making Predictions.mp4 | 77.79 MB | ||
| 213. Making Predictions_en-US.srt | 6.73 KB | ||
| 214. Validate Features.mp4 | 52.04 MB | ||
| 214. Validate Features_en-US.srt | 4.21 KB | ||
| 215. Making Predictions & Validations.mp4 | 78.18 MB | ||
| 215. Making Predictions & Validations_en-US.srt | 5.51 KB | ||
| 216. Feature Scaling in Android.mp4 | 98.15 MB | ||
| 216. Feature Scaling in Android_en-US.srt | 6.53 KB | ||
| 217. Testing the app.mp4 | 50.78 MB | ||
| 217. Testing the app_en-US.srt | 3.37 KB | ||
| 218. Fixing Standard Deviation.mp4 | 95.62 MB | ||
| 218. Fixing Standard Deviation_en-US.srt | 5.86 KB | ||
| 219. The Final RUN.mp4 | 58.37 MB | ||
| 219. The Final RUN_en-US.srt | 2.63 KB | ||
| 16 - Gadgets Detection App - Teachable Machines & Image Classification | |||
| 220. 1- Python Training.zip | 1.55 MB | ||
| 220. Gadgets Detection App Promo.mp4 | 52.44 MB | ||
| 220. Gadgets Detection App Promo_en-US.srt | 1.78 KB | ||
| 221. Teachable Machines.mp4 | 117.14 MB | ||
| 221. Teachable Machines_en-US.srt | 7.99 KB | ||
| 221. [TensorFlow] T3- GadgetsDetectionApp.zip | 84.47 MB | ||
| 222. Training the Model.mp4 | 45.36 MB | ||
| 222. Training the Model_en-US.srt | 2.94 KB | ||
| 223. Exporting Tflite.mp4 | 77.59 MB | ||
| 223. Exporting Tflite_en-US.srt | 5.57 KB | ||
| 224. Detection Result Class.mp4 | 34.34 MB | ||
| 224. Detection Result Class_en-US.srt | 2.98 KB | ||
| 225. Detection Interface.mp4 | 21.43 MB | ||
| 225. Detection Interface_en-US.srt | 1.98 KB | ||
| 226. Using Android View.mp4 | 55.02 MB | ||
| 226. Using Android View_en-US.srt | 4.67 KB | ||
| 227. Drawing Canvas.mp4 | 59.62 MB | ||
| 227. Drawing Canvas_en-US.srt | 4.79 KB | ||
| 228. Drawing Box & Labels.mp4 | 63.45 MB | ||
| 228. Drawing Box & Labels_en-US.srt | 4.76 KB | ||
| 229. Tensorflow Interpreter.mp4 | 40.16 MB | ||
| 229. Tensorflow Interpreter_en-US.srt | 3.11 KB | ||
| 230. Input Shape.mp4 | 26.2 MB | ||
| 230. Input Shape_en-US.srt | 2.32 KB | ||
| 231. Output Shape.mp4 | 53.55 MB | ||
| 231. Output Shape_en-US.srt | 4.4 KB | ||
| 232. Preprocessing Image to Match input Requirements.mp4 | 78.83 MB | ||
| 232. Preprocessing Image to Match input Requirements_en-US.srt | 5.14 KB | ||
| 233. The Output Buffer.mp4 | 60.71 MB | ||
| 233. The Output Buffer_en-US.srt | 4.4 KB | ||
| 234. Running the Inference.mp4 | 42.43 MB | ||
| 234. Running the Inference_en-US.srt | 3.68 KB | ||
| 235. Classification Output.mp4 | 76.18 MB | ||
| 235. Classification Output_en-US.srt | 6.95 KB | ||
| 236. Camera Controller.mp4 | 41.74 MB | ||
| 236. Camera Controller_en-US.srt | 3.3 KB | ||
| 237. Object Detector Variables.mp4 | 35.76 MB | ||
| 237. Object Detector Variables_en-US.srt | 2.98 KB | ||
| 238. Image Analyzer.mp4 | 53.81 MB | ||
| 238. Image Analyzer_en-US.srt | 4.53 KB | ||
| 239. Binding Camera to Lifecycler.mp4 | 50.6 MB | ||
| 239. Binding Camera to Lifecycler_en-US.srt | 4.15 KB | ||
| 240. Handling Camera Permissions.mp4 | 81.52 MB | ||
| 240. Handling Camera Permissions_en-US.srt | 5.96 KB | ||
| 241. Running the App.mp4 | 40.97 MB | ||
| 241. Running the App_en-US.srt | 1.92 KB | ||
| 17 - Object Detection App - SSD_MobileNet | |||
| 242. 1- Python Training.zip | 1.55 MB | ||
| 242. App Promo - Object Detection Mobilenet.mp4 | 56.29 MB | ||
| 242. App Promo - Object Detection Mobilenet_en-US.srt | 1.48 KB | ||
| 243. Downloading SSD Mobilenet model.mp4 | 68.39 MB | ||
| 243. Downloading SSD Mobilenet model_en-US.srt | 4.82 KB | ||
| 243. [TensorFlow] T4- ObjectDetectionSSDApp.zip | 87.18 MB | ||
| 244. Required Dependencies.mp4 | 116.18 MB | ||
| 244. Required Dependencies_en-US.srt | 7.31 KB | ||
| 245. Creating Data Class.mp4 | 20.07 MB | ||
| 245. Creating Data Class_en-US.srt | 1.83 KB | ||
| 246. Handling Async Operations & UI States.mp4 | 39.33 MB | ||
| 246. Handling Async Operations & UI States_en-US.srt | 3.09 KB | ||
| 247. Handling Camera Permissions.mp4 | 64.53 MB | ||
| 247. Handling Camera Permissions_en-US.srt | 5.23 KB | ||
| 248. Requesting Permissions from User.mp4 | 22.77 MB | ||
| 248. Requesting Permissions from User_en-US.srt | 1.64 KB | ||
| 249. Setup Camera Operations.mp4 | 55.83 MB | ||
| 249. Setup Camera Operations_en-US.srt | 3.84 KB | ||
| 250. Image Analyzer for Realtime Analysis.mp4 | 63 MB | ||
| 250. Image Analyzer for Realtime Analysis_en-US.srt | 3.94 KB | ||
| 251. Camera Preview Configurations.mp4 | 88.79 MB | ||
| 251. Camera Preview Configurations_en-US.srt | 6.28 KB | ||
| 252. Drawing the Boxes.mp4 | 95.87 MB | ||
| 252. Drawing the Boxes_en-US.srt | 8.25 KB | ||
| 253. Image Analyzer class.mp4 | 54.45 MB | ||
| 253. Image Analyzer class_en-US.srt | 4.44 KB | ||
| 254. Tensor Shape Input.mp4 | 67.29 MB | ||
| 254. Tensor Shape Input_en-US.srt | 7.14 KB | ||
| 255. Tensorflow Shape Output.mp4 | 76.28 MB | ||
| 255. Tensorflow Shape Output_en-US.srt | 5.8 KB | ||
| 256. Output Map.mp4 | 46.93 MB | ||
| 256. Output Map_en-US.srt | 3.5 KB | ||
| 257. Analyze Function.mp4 | 33.21 MB | ||
| 257. Analyze Function_en-US.srt | 2.85 KB | ||
| 258. Detect Function.mp4 | 28.21 MB | ||
| 258. Detect Function_en-US.srt | 2.03 KB | ||
| 259. Exact Input Format.mp4 | 91.14 MB | ||
| 259. Exact Input Format_en-US.srt | 6.19 KB | ||
| 260. Parse Detection Results.mp4 | 80.05 MB | ||
| 260. Parse Detection Results_en-US.srt | 5.77 KB | ||
| 261. Drawing Rectangle in a correct Way.mp4 | 44.77 MB | ||
| 261. Drawing Rectangle in a correct Way_en-US.srt | 3.49 KB | ||
| 262. Adding Labels & Model.mp4 | 69.51 MB | ||
| 262. Adding Labels & Model_en-US.srt | 5.12 KB | ||
| 263. Initializing the Model & Label.mp4 | 60.59 MB | ||
| 263. Initializing the Model & Label_en-US.srt | 4.55 KB | ||
| 264. Converting the Model to ByteBuffer.mp4 | 58.16 MB | ||
| 264. Converting the Model to ByteBuffer_en-US.srt | 4.06 KB | ||
| 265. Converting Labels to String List.mp4 | 48.66 MB | ||
| 265. Converting Labels to String List_en-US.srt | 3.36 KB | ||
| 266. Updating Live Data.mp4 | 78.32 MB | ||
| 266. Updating Live Data_en-US.srt | 5.94 KB | ||
| 267. Finishing ViewModel.mp4 | 44.7 MB | ||
| 267. Finishing ViewModel_en-US.srt | 2.84 KB | ||
| 268. Camera Thread Executer.mp4 | 94.29 MB | ||
| 268. Camera Thread Executer_en-US.srt | 6.9 KB | ||
| 269. Object Detection Screen.mp4 | 82.17 MB | ||
| 269. Object Detection Screen_en-US.srt | 5.13 KB | ||
| 270. Drawing Boxes on Objects.mp4 | 91.18 MB | ||
| 270. Drawing Boxes on Objects_en-US.srt | 5.29 KB | ||
| 271. Replacing context with App.mp4 | 84.24 MB | ||
| 271. Replacing context with App_en-US.srt | 4.92 KB | ||
| 272. Solving the Labels Problem.mp4 | 54.88 MB | ||
| 272. Solving the Labels Problem_en-US.srt | 1.99 KB | ||
| 18 - YOLO Custom Object Detection App - Training custom models | |||
| 273. 1- Python Training.zip | 1.55 MB | ||
| 273. App Promo Custom Yolo Detection App.mp4 | 66.45 MB | ||
| 273. App Promo Custom Yolo Detection App_en-US.srt | 2.64 KB | ||
| 274. RoboFlow.mp4 | 117.16 MB | ||
| 274. RoboFlow_en-US.srt | 5.58 KB | ||
| 274. [TensorFlow] T5- YOLO Custom ObjectDetectionApp.zip | 99.86 MB | ||
| 275. Creating Dataset.mp4 | 75.19 MB | ||
| 275. Creating Dataset_en-US.srt | 4.9 KB | ||
| 276. YOLO.mp4 | 98.91 MB | ||
| 276. YOLO_en-US.srt | 7.59 KB | ||
| 277. Downloading Our Dataset.mp4 | 63.22 MB | ||
| 277. Downloading Our Dataset_en-US.srt | 5.38 KB | ||
| 278. Training the Model.mp4 | 101.85 MB | ||
| 278. Training the Model_en-US.srt | 7.74 KB | ||
| 279. Validating the Model.mp4 | 32.62 MB | ||
| 279. Validating the Model_en-US.srt | 2.99 KB | ||
| 280. Testing our model.mp4 | 38.7 MB | ||
| 280. Testing our model_en-US.srt | 3.53 KB | ||
| 281. Exporting model as TFLITE.mp4 | 28.89 MB | ||
| 281. Exporting model as TFLITE_en-US.srt | 2.16 KB | ||
| 282. Model Shapes Info.mp4 | 48.39 MB | ||
| 282. Model Shapes Info_en-US.srt | 4.65 KB | ||
| 283. YOLO Input & Output.mp4 | 36.6 MB | ||
| 283. YOLO Input & Output_en-US.srt | 4.73 KB | ||
| 284. Preparing Android App.mp4 | 73.36 MB | ||
| 284. Preparing Android App_en-US.srt | 5.27 KB | ||
| 285. Updating the Viewmodel.mp4 | 93.6 MB | ||
| 285. Updating the Viewmodel_en-US.srt | 6.4 KB | ||
| 286. Updating Object Detector.mp4 | 96.6 MB | ||
| 286. Updating Object Detector_en-US.srt | 6.26 KB | ||
| 287. Parse YOLO Detections.mp4 | 98.94 MB | ||
| 287. Parse YOLO Detections_en-US.srt | 6.39 KB | ||
| 288. Testing The App.mp4 | 102.3 MB | ||
| 288. Testing The App_en-US.srt | 5.52 KB | ||
| 289. Solving out of Bounds Exception.mp4 | 27.15 MB | ||
| 289. Solving out of Bounds Exception_en-US.srt | 1.04 KB | ||
| 289. [TensorFlow] T5- YOLO Custom ObjectDetectionApp.zip | 99.86 MB | ||
| 2 - Google Maps Markers & Shapes | |||
| 10. Customizing Markers Icons.mp4 | 35.44 MB | ||
| 10. Customizing Markers Icons_en-US.srt | 2.03 KB | ||
| 11. Click Events on Markers.mp4 | 65.47 MB | ||
| 11. Click Events on Markers_en-US.srt | 3.03 KB | ||
| 12. Polylines.mp4 | 47.64 MB | ||
| 12. Polylines_en-US.srt | 3.87 KB | ||
| 13. Polygons.mp4 | 30.47 MB | ||
| 13. Polygons_en-US.srt | 3.48 KB | ||
| 9. Placing Markers on Map.mp4 | 71.15 MB | ||
| 9. Placing Markers on Map_en-US.srt | 4.64 KB | ||
| 3 - Google Maps Events | |||
| 14. Ground Overlay.mp4 | 63.33 MB | ||
| 14. Ground Overlay_en-US.srt | 6.67 KB | ||
| 15. From LatLng bounds to Ground Position.mp4 | 42.02 MB | ||
| 15. From LatLng bounds to Ground Position_en-US.srt | 5.84 KB | ||
| 16. Handling Map Clicks.mp4 | 63.72 MB | ||
| 16. Handling Map Clicks_en-US.srt | 4.14 KB | ||
| 17. Long Click on Maps.mp4 | 42.63 MB | ||
| 17. Long Click on Maps_en-US.srt | 2.65 KB | ||
| 18. Map UI Settings.mp4 | 101.16 MB | ||
| 18. Map UI Settings_en-US.srt | 5.27 KB | ||
| 19. Rotate & Tilt Gestures.mp4 | 20.65 MB | ||
| 19. Rotate & Tilt Gestures_en-US.srt | 1.97 KB | ||
| 20. Info Window Gestures.mp4 | 29.64 MB | ||
| 20. Info Window Gestures_en-US.srt | 2.91 KB | ||
| 21. Map Bounds.mp4 | 104.22 MB | ||
| 21. Map Bounds_en-US.srt | 6.6 KB | ||
| 22. Camera Position & Animation.mp4 | 135 MB | ||
| 22. Camera Position & Animation_en-US.srt | 7.33 KB | ||
| 23. UI Elements over Map.mp4 | 90.46 MB | ||
| 23. UI Elements over Map_en-US.srt | 5.43 KB | ||
| 24. Custom Surfaces & UI Elements.mp4 | 101.17 MB | ||
| 24. Custom Surfaces & UI Elements_en-US.srt | 7.6 KB | ||
| 25. Custom Info Window.mp4 | 87.33 MB | ||
| 25. Custom Info Window_en-US.srt | 7.35 KB | ||
| 26. Dynamic Marker Removal.mp4 | 83.18 MB | ||
| 26. Dynamic Marker Removal_en-US.srt | 6.07 KB | ||
| 4 - Google Maps Styling | |||
| 27. Google Maps Styling.mp4 | 152.3 MB | ||
| 27. Google Maps Styling_en-US.srt | 7.59 KB | ||
| 28. Applying Custom Styles.mp4 | 63.92 MB | ||
| 28. Applying Custom Styles_en-US.srt | 3.37 KB | ||
| 29. Scalebar.mp4 | 73.2 MB | ||
| 29. Scalebar_en-US.srt | 4.29 KB | ||
| 30. Dynamic Polylines.mp4 | 83.48 MB | ||
| 30. Dynamic Polylines_en-US.srt | 5.5 KB | ||
| 31. Dynamic Polygons.mp4 | 17.18 MB | ||
| 31. Dynamic Polygons_en-US.srt | 2.33 KB | ||
| 5 - Google Maps Location | |||
| 32. Location Service Library.mp4 | 24.06 MB | ||
| 32. Location Service Library_en-US.srt | 3.42 KB | ||
| 33. Permission Launcher.mp4 | 15.18 MB | ||
| 33. Permission Launcher_en-US.srt | 2.86 KB | ||
| 34. Fetching Current Location.mp4 | 51.95 MB | ||
| 34. Fetching Current Location_en-US.srt | 5.26 KB | ||
| 35. Last Known Location.mp4 | 38.34 MB | ||
| 35. Last Known Location_en-US.srt | 5.17 KB | ||
| 36. Fetching Live Location.mp4 | 112.18 MB | ||
| 36. Fetching Live Location_en-US.srt | 9.32 KB | ||
| 37. Geocoding.mp4 | 70.8 MB | ||
| 37. Geocoding_en-US.srt | 5.99 KB | ||
| 38. Geocoding Variables.mp4 | 40.94 MB | ||
| 38. Geocoding Variables_en-US.srt | 5.47 KB | ||
| 39. Execute Geocoding.mp4 | 60.97 MB | ||
| 39. Execute Geocoding_en-US.srt | 5.1 KB | ||
| 40. Reverse Geocoding.mp4 | 95.54 MB | ||
| 40. Reverse Geocoding_en-US.srt | 7.38 KB | ||
| 41. Geocoding with Gestures.mp4 | 16.06 MB | ||
| 41. Geocoding with Gestures_en-US.srt | 2.25 KB | ||
| 6 - Google Maps - Places API & Marker Clustering | |||
| 42. Places API.mp4 | 59.64 MB | ||
| 42. Places API_en-US.srt | 5.16 KB | ||
| 43. Autocomplete Predicitons.mp4 | 43.07 MB | ||
| 43. Autocomplete Predicitons_en-US.srt | 5.94 KB | ||
| 44. Places Client.mp4 | 44.59 MB | ||
| 44. Places Client_en-US.srt | 4.69 KB | ||
| 45. Prediction item Composable.mp4 | 29.76 MB | ||
| 45. Prediction item Composable_en-US.srt | 2.59 KB | ||
| 46. Fetching Places & Predictions.mp4 | 107.27 MB | ||
| 46. Fetching Places & Predictions_en-US.srt | 7.69 KB | ||
| 47. Intro to Marker Clustering.mp4 | 69.07 MB | ||
| 47. Intro to Marker Clustering_en-US.srt | 4.61 KB | ||
| 48. Clustering Composable Function.mp4 | 25.66 MB | ||
| 48. Clustering Composable Function_en-US.srt | 4.45 KB | ||
| 49. Custom Item Clustering.mp4 | 20.73 MB | ||
| 49. Custom Item Clustering_en-US.srt | 3.69 KB | ||
| 50. Cluster Items List.mp4 | 15.04 MB | ||
| 50. Cluster Items List_en-US.srt | 1.02 KB | ||
| 51. Remember Cluster Manager.mp4 | 28.28 MB | ||
| 51. Remember Cluster Manager_en-US.srt | 2.44 KB | ||
| 52. Handling Cluster Gestures.mp4 | 71.41 MB | ||
| 52. Handling Cluster Gestures_en-US.srt | 5.76 KB | ||
| 53. Custom Clustering.mp4 | 62.01 MB | ||
| 53. Custom Clustering_en-US.srt | 5.1 KB | ||
| 7 - UBER Clone App - [Google Maps + Firebase + Retrofit + Directions API + Hilt] | |||
| 100. Controlling Multiple Markers.mp4 | 84.83 MB | ||
| 100. Controlling Multiple Markers_en-US.srt | 5.41 KB | ||
| 101. Drawing Multiple Points Route.mp4 | 44.57 MB | ||
| 101. Drawing Multiple Points Route_en-US.srt | 3.98 KB | ||
| 102. Clearing Map.mp4 | 35.54 MB | ||
| 102. Clearing Map_en-US.srt | 2.99 KB | ||
| 54. Uber Clone App Promo.mp4 | 33.37 MB | ||
| 54. Uber Clone App Promo_en-US.srt | 4.55 KB | ||
| 55. Adding Firebase.mp4 | 54.59 MB | ||
| 55. Adding Firebase_en-US.srt | 6.13 KB | ||
| 56. Adding Google Maps SDK.mp4 | 42.19 MB | ||
| 56. Adding Google Maps SDK_en-US.srt | 3.59 KB | ||
| 57. Adding More Libraries.mp4 | 26.97 MB | ||
| 57. Adding More Libraries_en-US.srt | 2.58 KB | ||
| 58. Hilt & KSP.mp4 | 70.47 MB | ||
| 58. Hilt & KSP_en-US.srt | 5.88 KB | ||
| 59. Google Maps Composable Function.mp4 | 32.05 MB | ||
| 59. Google Maps Composable Function_en-US.srt | 3.7 KB | ||
| 60. Setup Google Maps Project.mp4 | 72.35 MB | ||
| 60. Setup Google Maps Project_en-US.srt | 5.57 KB | ||
| 61. Expandable FAB [Part 1].mp4 | 56.8 MB | ||
| 61. Expandable FAB [Part 1]_en-US.srt | 4.52 KB | ||
| 62. Expandable FAB [Part 2].mp4 | 48.35 MB | ||
| 62. Expandable FAB [Part 2]_en-US.srt | 6.62 KB | ||
| 63. Disappearing Scalebar.mp4 | 13.61 MB | ||
| 63. Disappearing Scalebar_en-US.srt | 2.45 KB | ||
| 64. Repository & Its implementation.mp4 | 33.67 MB | ||
| 64. Repository & Its implementation_en-US.srt | 6.26 KB | ||
| 65. Adding Markers to Firestore.mp4 | 25.24 MB | ||
| 65. Adding Markers to Firestore_en-US.srt | 4.79 KB | ||
| 66. Map View Model.mp4 | 33.68 MB | ||
| 66. Map View Model_en-US.srt | 5.64 KB | ||
| 67. Hilt Module.mp4 | 36.73 MB | ||
| 67. Hilt Module_en-US.srt | 6.31 KB | ||
| 68. Hilt ViewModel().mp4 | 28.64 MB | ||
| 68. Hilt ViewModel()_en-US.srt | 5.06 KB | ||
| 69. Hilt Android App.mp4 | 27.13 MB | ||
| 69. Hilt Android App_en-US.srt | 3.1 KB | ||
| 70. Getting All Markers from Firestore.mp4 | 79.22 MB | ||
| 70. Getting All Markers from Firestore_en-US.srt | 6.51 KB | ||
| 71. Markers as Mutable State Flow.mp4 | 57.89 MB | ||
| 71. Markers as Mutable State Flow_en-US.srt | 8.59 KB | ||
| 72. Markers as Snap Shot State List.mp4 | 70.95 MB | ||
| 72. Markers as Snap Shot State List_en-US.srt | 6.02 KB | ||
| 73. Flow in Kotlin.mp4 | 26.41 MB | ||
| 73. Flow in Kotlin_en-US.srt | 3.79 KB | ||
| 74. Listening to Firebase Updates.mp4 | 46.46 MB | ||
| 74. Listening to Firebase Updates_en-US.srt | 6.14 KB | ||
| 75. Callback Flow, trySend() & awaitClose().mp4 | 27.47 MB | ||
| 75. Callback Flow, trySend() & awaitClose()_en-US.srt | 4.07 KB | ||
| 76. Real-Time Markers.mp4 | 61.39 MB | ||
| 76. Real-Time Markers_en-US.srt | 6.23 KB | ||
| 77. Location Repository.mp4 | 19.83 MB | ||
| 77. Location Repository_en-US.srt | 3.7 KB | ||
| 78. Location Repo Implementation.mp4 | 28.83 MB | ||
| 78. Location Repo Implementation_en-US.srt | 4.16 KB | ||
| 79. Getting Current Location.mp4 | 67.63 MB | ||
| 79. Getting Current Location_en-US.srt | 6.21 KB | ||
| 80. Controlling Locatino Updates.mp4 | 46.62 MB | ||
| 80. Controlling Locatino Updates_en-US.srt | 4.19 KB | ||
| 81. Updating ViewModel.mp4 | 15.97 MB | ||
| 81. Updating ViewModel_en-US.srt | 2.11 KB | ||
| 82. Requesting Location Permissions during Runtime.mp4 | 34.64 MB | ||
| 82. Requesting Location Permissions during Runtime_en-US.srt | 3.64 KB | ||
| 83. Displaying Current Location on Map.mp4 | 42.81 MB | ||
| 83. Displaying Current Location on Map_en-US.srt | 3.85 KB | ||
| 84. Location Module.mp4 | 84.63 MB | ||
| 84. Location Module_en-US.srt | 5.81 KB | ||
| 85. Directions API & retrofit.mp4 | 35.03 MB | ||
| 85. Directions API & retrofit_en-US.srt | 5.43 KB | ||
| 86. Understanding Directions API.mp4 | 73.49 MB | ||
| 86. Understanding Directions API_en-US.srt | 4.44 KB | ||
| 87. Directions Service.mp4 | 69.11 MB | ||
| 87. Directions Service_en-US.srt | 6.34 KB | ||
| 88. The 3 Data Classes.mp4 | 98.14 MB | ||
| 88. The 3 Data Classes_en-US.srt | 6.8 KB | ||
| 89. Retrofit Provider.mp4 | 14.44 MB | ||
| 89. Retrofit Provider_en-US.srt | 3.65 KB | ||
| 90. Directions Repository.mp4 | 19.6 MB | ||
| 90. Directions Repository_en-US.srt | 3.56 KB | ||
| 91. Directions Repository Implementation.mp4 | 38.88 MB | ||
| 91. Directions Repository Implementation_en-US.srt | 6.56 KB | ||
| 92. Directions Module.mp4 | 75.09 MB | ||
| 92. Directions Module_en-US.srt | 6.65 KB | ||
| 93. fetch Route From Current Location to Destination.mp4 | 73.05 MB | ||
| 93. fetch Route From Current Location to Destination_en-US.srt | 5.65 KB | ||
| 94. Selecting Markers on Map.mp4 | 60.45 MB | ||
| 94. Selecting Markers on Map_en-US.srt | 5.83 KB | ||
| 95. Displaying Route.mp4 | 69.43 MB | ||
| 95. Displaying Route_en-US.srt | 4.07 KB | ||
| 96. Requesting a Ride.mp4 | 57.75 MB | ||
| 96. Requesting a Ride_en-US.srt | 3.87 KB | ||
| 97. Route between location and marker.mp4 | 117.31 MB | ||
| 97. Route between location and marker_en-US.srt | 6.78 KB | ||
| 98. API Request Between Multiple Markers.mp4 | 47.08 MB | ||
| 98. API Request Between Multiple Markers_en-US.srt | 5.66 KB | ||
| 99. Adding Points to Multipoints Route.mp4 | 30.32 MB | ||
| 99. Adding Points to Multipoints Route_en-US.srt | 3.99 KB | ||
| 8 - Introduction | |||
| 103. Course Overview.mp4 | 44.24 MB | ||
| 103. Course Overview_en-US.srt | 7.25 KB | ||
| 104. What's Machine Learning.mp4 | 30.15 MB | ||
| 104. What's Machine Learning_en-US.srt | 4.36 KB | ||
| 105. ML in real life.mp4 | 28.36 MB | ||
| 105. ML in real life_en-US.srt | 3.78 KB | ||
| 106. ML terminology.mp4 | 43.55 MB | ||
| 106. ML terminology_en-US.srt | 6.72 KB | ||
| 107. ML Algorithms.mp4 | 34.4 MB | ||
| 107. ML Algorithms_en-US.srt | 4.82 KB | ||
| 108. Supervised ML.mp4 | 69.43 MB | ||
| 108. Supervised ML_en-US.srt | 7.37 KB | ||
| 109. Semi Supervised ML.mp4 | 18.81 MB | ||
| 109. Semi Supervised ML_en-US.srt | 2.78 KB | ||
| 110. Unsupervised ML.mp4 | 32.5 MB | ||
| 110. Unsupervised ML_en-US.srt | 4.8 KB | ||
| 111. Reinforcement Learning.mp4 | 18.62 MB | ||
| 111. Reinforcement Learning_en-US.srt | 3.1 KB | ||
| 9 - Python Basics | |||
| 112. 1- Python Training.zip | 1.55 MB | ||
| 112. Download All Google COLAB Scripts Here.html | 5.46 KB | ||
| 113. Google COLAB.mp4 | 73.1 MB | ||
| 113. Google COLAB_en-US.srt | 6.3 KB | ||
| 114. Features & Limits of COLAB.mp4 | 85.44 MB | ||
| 114. Features & Limits of COLAB_en-US.srt | 8.41 KB | ||
| 115. Python Variables.mp4 | 50.52 MB | ||
| 115. Python Variables_en-US.srt | 6.29 KB | ||
| 116. Data Types.mp4 | 43.73 MB | ||
| 116. Data Types_en-US.srt | 4.75 KB | ||
| 117. Arithmetic Operators.mp4 | 52.55 MB | ||
| 117. Arithmetic Operators_en-US.srt | 6.36 KB | ||
| 118. Comparison & Logical Operators.mp4 | 36.82 MB | ||
| 118. Comparison & Logical Operators_en-US.srt | 5.08 KB | ||
| 119. Strings in Pythons.mp4 | 32.96 MB | ||
| 119. Strings in Pythons_en-US.srt | 3.76 KB | ||
| 120. User Input.mp4 | 22.82 MB | ||
| 120. User Input_en-US.srt | 2.25 KB | ||
| 121. Practice Exercise.mp4 | 37.29 MB | ||
| 121. Practice Exercise_en-US.srt | 3.59 KB | ||
| 122. Section Recap.mp4 | 13.13 MB | ||
| 122. Section Recap_en-US.srt | 1.53 KB | ||
| ▲ 594 total files | |||
Description
Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Программирование (видеоуроки)
The Complete Android 16 Course [Part 3] - Become a Master
Год выпуска: 12/2025
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/androidpart3/
Автор: Abbass Masri - MasterCoding.io
Продолжительность: 22h 15m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: This advanced course is Part 3 of an Android App Development Series, moving into advanced Android engineering and on-device machine learning for developers who want to go beyond CRUD-based apps and build intelligent, production-level applications combining mapping systems, real-time data, and ML models. You begin by mastering advanced Google Maps integration, building Uber-style applications that handle live location tracking, camera movement, markers, polyline routing, distance calculations, and map-based UI optimization for real-world use cases. Then you dive deep into Machine Learning on Android with an end-to-end workflow: preparing and structuring datasets for mobile ML, training custom models for Android use cases, converting and optimizing models into TensorFlow Lite (TFLite), and deploying and running ML models efficiently on Android devices.
A major focus is computer vision and object detection using industry-standard architectures like SSD MobileNet and YOLO, where you learn the differences between detection models and when to use each, how to train custom object detection models from scratch, how to export and integrate them into Android apps, and how to perform real-time object detection using the device camera. You also learn optimization techniques critical for mobile performance, including model size reduction, inference speed optimization, and resource management, ensuring apps run smoothly on real devices. The course is project-driven and implementation-focused, applying every major concept directly to Android so you clearly understand how machine learning, computer vision, and Android development work together in real products. By the end, you will have built advanced map-based Android applications, implemented AI-powered features using on-device ML, created and deployed custom TFLite object detection models, developed real-time ML-powered Android apps ready for production, and significantly upgraded your Android and AI skill set. It is an advanced-level course assuming prior knowledge of Kotlin, Android Studio, and Android fundamentals.
[spoiler="Содержание"]
1 - Google Maps with Jetpack Compose
1. Introduction to Google Maps (07:46)
2. Google Maps project & API Key (05:26)
3. Restricting API Key (03:21)
4. Adding Google Maps Dependency (01:35)
5. Google Maps Composable Function (05:48)
6. Latitude & Longitude (02:09)
7. Initial Camera Position (07:10)
8. Types of Maps (02:40)
2 - Google Maps Markers & Shapes
9. Placing Markers on Map (04:34)
10. Customizing Markers Icons (02:05)
11. Click Events on Markers (03:05)
12. Polylines (03:33)
13. Polygons (03:24)
3 - Google Maps Events
14. Ground Overlay (06:16)
15. From LatLng bounds to Ground Position (05:29)
16. Handling Map Clicks (04:14)
17. Long Click on Maps (02:51)
18. Map UI Settings (05:33)
19. Rotate & Tilt Gestures (02:06)
20. Info Window Gestures (03:03)
21. Map Bounds (06:37)
22. Camera Position & Animation (07:29)
23. UI Elements over Map (05:42)
24. Custom Surfaces & UI Elements (07:48)
25. Custom Info Window (07:34)
26. Dynamic Marker Removal (05:47)
4 - Google Maps Styling
27. Google Maps Styling (07:16)
28. Applying Custom Styles (03:58)
29. Scalebar (04:10)
30. Dynamic Polylines (05:46)
31. Dynamic Polygons (02:19)
5 - Google Maps Location
32. Location Service Library (03:27)
33. Permission Launcher (02:50)
34. Fetching Current Location (05:27)
35. Last Known Location (05:13)
36. Fetching Live Location (09:16)
37. Geocoding (06:10)
38. Geocoding Variables (06:03)
39. Execute Geocoding (05:16)
40. Reverse Geocoding (07:09)
41. Geocoding with Gestures (02:18)
6 - Google Maps - Places API & Marker Clustering
42. Places API (05:22)
43. Autocomplete Predicitons (06:44)
44. Places Client (04:50)
45. Prediction item Composable (02:53)
46. Fetching Places & Predictions (07:57)
47. Intro to Marker Clustering (04:59)
48. Clustering Composable Function (04:19)
49. Custom Item Clustering (03:37)
50. Cluster Items List (01:08)
51. Remember Cluster Manager (02:44)
52. Handling Cluster Gestures (05:38)
53. Custom Clustering (04:45)
7 - UBER Clone App - [Google Maps + Firebase + Retrofit + Directions API + Hilt]
54. Uber Clone App Promo (04:43)
55. Adding Firebase (05:30)
56. Adding Google Maps SDK (03:25)
57. Adding More Libraries (02:33)
58. Hilt & KSP (05:28)
59. Google Maps Composable Function (03:45)
60. Setup Google Maps Project (05:38)
61. Expandable FAB [Part 1] (04:37)
62. Expandable FAB [Part 2] (06:24)
63. Disappearing Scalebar (02:26)
64. Repository & Its implementation (06:05)
65. Adding Markers to Firestore (04:37)
66. Map View Model (05:50)
67. Hilt Module (06:41)
68. Hilt ViewModel() (05:08)
69. Hilt Android App (03:14)
70. Getting All Markers from Firestore (06:55)
71. Markers as Mutable State Flow (08:42)
72. Markers as Snap Shot State List (06:25)
73. Flow in Kotlin (04:05)
74. Listening to Firebase Updates (07:01)
75. Callback Flow, trySend() & awaitClose() (04:27)
76. Real-Time Markers (06:38)
77. Location Repository (03:46)
78. Location Repo Implementation (04:11)
79. Getting Current Location (06:31)
80. Controlling Locatino Updates (04:21)
81. Updating ViewModel (02:20)
82. Requesting Location Permissions during Runtime (03:36)
83. Displaying Current Location on Map (03:52)
84. Location Module (05:59)
85. Directions API & retrofit (05:32)
86. Understanding Directions API (04:38)
87. Directions Service (06:15)
88. The 3 Data Classes (06:43)
89. Retrofit Provider (03:45)
90. Directions Repository (03:40)
91. Directions Repository Implementation (06:57)
92. Directions Module (06:54)
93. fetch Route From Current Location to Destination (06:05)
94. Selecting Markers on Map (06:10)
95. Displaying Route (03:58)
96. Requesting a Ride (03:46)
97. Route between location and marker (07:07)
98. API Request Between Multiple Markers (06:20)
99. Adding Points to Multipoints Route (04:25)
100. Controlling Multiple Markers (05:50)
101. Drawing Multiple Points Route (03:50)
102. Clearing Map (02:43)
8 - Introduction
103. Course Overview (07:26)
104. What's Machine Learning (04:30)
105. ML in real life (04:25)
106. ML terminology (06:34)
107. ML Algorithms (04:28)
108. Supervised ML (07:32)
109. Semi Supervised ML (02:41)
110. Unsupervised ML (04:41)
111. Reinforcement Learning (03:07)
9 - Python Basics
113. Google COLAB (05:56)
114. Features & Limits of COLAB (07:47)
115. Python Variables (05:52)
116. Data Types (04:42)
117. Arithmetic Operators (06:31)
118. Comparison & Logical Operators (04:27)
119. Strings in Pythons (03:43)
120. User Input (02:19)
121. Practice Exercise (03:44)
122. Section Recap (01:22)
10 - Python Loops & Conditionals
123. Section Intro (00:56)
124. Conditional Statements (03:29)
125. For Loops (03:43)
126. While Loops (03:19)
127. Lists (04:44)
128. Functions (06:23)
129. Practice Exercise (02:45)
130. Section Recap (00:39)
11 - Python Dictionaries & Files
131. Section Intro (01:11)
132. Dictionnaries Data Structure (04:46)
133. Try & Except (02:32)
134. Reading & Writing File IO (05:09)
135. To Do List Program [Part 1] (07:28)
136. To Do List Program [Part 2] (05:24)
12 - Python Data Analysis
137. Section Intro (00:47)
138. Pandas Library (02:40)
139. Data Frames (03:51)
140. Using Data Frames (04:27)
141. Filtering Data Based on Conditions (01:47)
142. Data Visualization with Matplot (03:23)
143. Companies Stock Price (06:08)
144. Section Recap (00:48)
13 - Machine Learning with Python
145. Machine Learning Libraries (04:04)
146. Generating Random Data (05:33)
147. Ploting Data on Chart (05:09)
148. Preparing Data - [Data Splitting] (05:02)
149. Training the Model (06:27)
150. Evaluating our Model (06:11)
151. Actual vs Predicted Prices (04:53)
152. Testing our Model (02:38)
14 - House Price Predition App - [Python + Tensorflow + Android Compose]
153. House Price Prediction App Promo (04:28)
154. Steps to Use TensorFlow (06:15)
155. Generating Same Random Dataset (06:25)
156. Generating Random Dataset in Python (03:46)
157. Converting Numpy to Dataframes (04:54)
158. Reshaping Data - Converting 1D to 2D Arrays (04:49)
159. Tensorflow for Linear Regressions (02:28)
160. Building TensorFlow Model (03:13)
161. Compiling the Model (05:03)
162. Model Summary (02:50)
163. Training Tensorflow Model (04:02)
164. The Trained Equation (05:25)
165. Ploting the results (02:47)
166. Evaluating the Model (03:17)
167. Exporting the Model (04:48)
168. Loading the Exported Models (04:03)
169. Exporting TFLITE models (07:19)
170. Tensorflow Meets Android (03:53)
171. Designing the UI (04:56)
172. Adding Tensorflow Model (01:46)
173. Tensorflow Helper Class (03:08)
174. Loading Tensorflow Model (04:16)
175. Running the Model (06:20)
176. Closing Interpreter (01:42)
177. Making Predictions (03:32)
178. Running the App (02:00)
15 - Car Mileage Prediction App - Complex Linear Regression
179. Car MPG Prediction App Promo (05:19)
180. Tensorflow model architecture (07:14)
181. Learning Objectives (01:24)
182. Necessary Libraries (07:39)
183. Standard Scaler (02:59)
184. Exploring Dataset (08:06)
185. Handling Missing Values (04:18)
186. Statistical Summary (02:14)
187. Visualizing Target Variable (03:58)
188. Feature Correlation Heatmap (07:48)
189. Splitting Features & Targets (01:54)
190. One-Bot Encoding (02:56)
191. Splitting Dataset into Training & Testing (03:41)
192. Feature Scaling (08:18)
193. Model Layers (05:42)
194. Compiling the Model (03:31)
195. Model Summary (02:41)
196. Model Training & Early Stopping (06:05)
197. Evaluating Model Performance (04:52)
198. MSE & MAE (04:12)
199. Predictions vs Actual Values (02:52)
200. Making Predictions (04:09)
201. Exporting the model as Tflite (01:25)
202. Adding Tensorflow model to Android App (03:08)
203. Car Mileage Predictor Screen (02:45)
204. Car Features Data Class (02:58)
205. Car Feature TextField (03:43)
206. User TextField (07:24)
207. Origin Card (04:45)
208. Final UI Touches (06:39)
209. Prediction Result Card (03:09)
210. Validation Errors (02:44)
211. Input & Output Shapes of our Model (05:23)
212. Loading Tensorflow Model (06:42)
213. Making Predictions (06:44)
214. Validate Features (04:18)
215. Making Predictions & Validations (05:50)
216. Feature Scaling in Android (07:37)
217. Testing the app (03:44)
218. Fixing Standard Deviation (05:42)
219. The Final RUN (02:33)
16 - Gadgets Detection App - Teachable Machines & Image Classification
220. Gadgets Detection App Promo (02:00)
221. Teachable Machines (07:43)
222. Training the Model (02:51)
223. Exporting Tflite (05:25)
224. Detection Result Class (03:18)
225. Detection Interface (02:16)
226. Using Android View (05:00)
227. Drawing Canvas (04:55)
228. Drawing Box & Labels (05:24)
229. Tensorflow Interpreter (03:23)
230. Input Shape (02:37)
231. Output Shape (04:44)
232. Preprocessing Image to Match input Requirements (06:03)
233. The Output Buffer (05:15)
234. Running the Inference (03:47)
235. Classification Output (06:58)
236. Camera Controller (03:20)
237. Object Detector Variables (02:45)
238. Image Analyzer (04:44)
239. Binding Camera to Lifecycler (04:13)
240. Handling Camera Permissions (05:57)
241. Running the App (01:41)
17 - Object Detection App - SSD_MobileNet
242. App Promo - Object Detection Mobilenet (01:39)
243. Downloading SSD Mobilenet model (04:52)
244. Required Dependencies (07:01)
245. Creating Data Class (01:57)
246. Handling Async Operations & UI States (03:29)
247. Handling Camera Permissions (05:27)
248. Requesting Permissions from User (01:45)
249. Setup Camera Operations (04:14)
250. Image Analyzer for Realtime Analysis (04:18)
251. Camera Preview Configurations (06:36)
252. Drawing the Boxes (08:44)
253. Image Analyzer class (04:41)
254. Tensor Shape Input (08:08)
255. Tensorflow Shape Output (06:40)
256. Output Map (04:04)
257. Analyze Function (03:20)
258. Detect Function (02:20)
259. Exact Input Format (06:52)
260. Parse Detection Results (06:52)
261. Drawing Rectangle in a correct Way (03:23)
262. Adding Labels & Model (05:02)
263. Initializing the Model & Label (04:45)
264. Converting the Model to ByteBuffer (04:39)
265. Converting Labels to String List (04:00)
266. Updating Live Data (05:59)
267. Finishing ViewModel (02:54)
268. Camera Thread Executer (07:03)
269. Object Detection Screen (05:40)
270. Drawing Boxes on Objects (05:52)
271. Replacing context with App (04:46)
272. Solving the Labels Problem (01:55)
18 - YOLO Custom Object Detection App - Training custom models
273. App Promo Custom Yolo Detection App (02:51)
274. RoboFlow (05:26)
275. Creating Dataset (04:46)
276. YOLO (07:32)
277. Downloading Our Dataset (05:10)
278. Training the Model (07:56)
279. Validating the Model (02:48)
280. Testing our model (03:20)
281. Exporting model as TFLITE (02:10)
282. Model Shapes Info (04:37)
283. YOLO Input & Output (05:05)
284. Preparing Android App (05:22)
285. Updating the Viewmodel (06:09)
286. Updating Object Detector (06:46)
287. Parse YOLO Detections (07:06)
288. Testing The App (05:17)
289. Solving out of Bounds Exception (01:06)
[/spoiler]
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[spoiler="Скриншоты"]
[/spoiler]
The Complete Android 15 Course [Part 1]-Master Java & Kotlin
The Complete Android 15 Course [Part 2] - Jetpack Compose
The Complete Android 16 Course [Part 4] - Cloud Integration
The Complete Android 16 Developer Course [Part 5] - POS App
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