| 1 - Google Colab for Programming in Python.mp4 | 9.6 MB | ||
| 1 - Google-Colab-for-Programming-in-Python.pdf | 577.8 KB | ||
| 10 - Introduction to the Dataset.mp4 | 84.9 MB | ||
| 10 - Introduction-to-the-Dataset.ipynb | 11.1 KB | ||
| 10 - Introduction-to-the-Dataset.pdf | 163.2 KB | ||
| 10 - crabs.csv | 6 KB | ||
| 11 - Using LLE.mp4 | 200.1 MB | ||
| 11 - Using-LLE.pdf | 199.8 KB | ||
| 11 - Using-Locally-Linear-Embedding.ipynb | 83.7 KB | ||
| 11 - crabs.csv | 6 KB | ||
| 12 - LLE with 3 Dimensions.mp4 | 201.9 MB | ||
| 12 - LLE-with-3-Dimensions.ipynb | 218.6 KB | ||
| 12 - LLE-with-3-Dimensions.pdf | 237.1 KB | ||
| 12 - crabs.csv | 6 KB | ||
| 13 - Introduction to tSNE.mp4 | 35.4 MB | ||
| 13 - Introduction-to-t-SNE.pdf | 374.7 KB | ||
| 14 - Dataset.mp4 | 3 MB | ||
| 15 - Introduction to the Dataset.mp4 | 84.9 MB | ||
| 15 - Introduction-to-the-Dataset.ipynb | 11.1 KB | ||
| 15 - Introduction-to-the-Dataset.pdf | 163.2 KB | ||
| 15 - crabs.csv | 6 KB | ||
| 16 - Using-t-SNE-on-Raw-Data.pdf | 182 KB | ||
| 16 - Using-t-SNE-with-Raw-Data.ipynb | 192.8 KB | ||
| 16 - tSNE on Raw Data.mp4 | 256.7 MB | ||
| 17 - Using-t-SNE-on-Scaled-Data.pdf | 180.8 KB | ||
| 17 - Using-t-SNE-with-Scaled-Data.ipynb | 395.5 KB | ||
| 17 - tSNE on Scaled Data.mp4 | 145.4 MB | ||
| 18 - Using-t-SNE-on-Standardized-Data.pdf | 182.7 KB | ||
| 18 - Using-t-SNE-with-Standardized-Data.ipynb | 583.6 KB | ||
| 18 - tSNE on Standardized Data.mp4 | 146.6 MB | ||
| 19 - Introduction to MDS.mp4 | 21.2 MB | ||
| 2 - Initial Study of the Dataset.mp4 | 118.1 MB | ||
| 2 - Initial-Study-of-the-Dataset.pdf | 196.9 KB | ||
| 2 - Initial-Study.ipynb | 48.9 KB | ||
| 2 - titanic.csv | 104.5 KB | ||
| 20 - MDS-with-2-Dimensions.ipynb | 89.6 KB | ||
| 20 - Multidimensional-Scaling-with-2-Dimensions.pdf | 158.9 KB | ||
| 20 - Using MDS with 2 Dimensions.mp4 | 150 MB | ||
| 21 - MDS-with-3-Dimensions.ipynb | 230.7 KB | ||
| 21 - Multidimensional-Scaling-with-3-Dimensions.pdf | 158.8 KB | ||
| 21 - Using MDS with 3 Dimensions.mp4 | 143.7 MB | ||
| 22 - Introduccion to ISOMAP.mp4 | 17.5 MB | ||
| 22 - Introduction-to-ISOMAP.pdf | 164.3 KB | ||
| 23 - ISOMAP with 2 Dimensions.mp4 | 214 MB | ||
| 23 - ISOMAP-with-2-Dimensions.ipynb | 90.1 KB | ||
| 23 - ISOMAP-with-2-Dimensions.pdf | 160 KB | ||
| 24 - ISOMAP with 3 Dimensions.mp4 | 247.7 MB | ||
| 24 - ISOMAP-with-3-Dimensions.ipynb | 224.8 KB | ||
| 24 - ISOMAP-with-3-Dimensions.pdf | 160.2 KB | ||
| 25 - Introduction to Fisher Discriminant Analysis.mp4 | 12.7 MB | ||
| 26 - Dataset Information.mp4 | 3 MB | ||
| 27 - Introduction to the Dataset.mp4 | 84.9 MB | ||
| 27 - Introduction-to-the-Dataset.ipynb | 11.1 KB | ||
| 27 - Introduction-to-the-Dataset.pdf | 163.2 KB | ||
| 27 - crabs.csv | 6 KB | ||
| 28 - Fisher Discriminant Analysis with 2 Dimensions.mp4 | 209.6 MB | ||
| 28 - Fisher-Discriminant-Analysis-with-2-Dimensions.ipynb | 97.4 KB | ||
| 28 - Fisher-Discriminant-Analysis-with-2-Dimensions.pdf | 250.9 KB | ||
| 29 - Fisher Discriminant Analysis with 3 Dimensions.mp4 | 188 MB | ||
| 29 - Fisher-Discriminant-Analysis-with-3-Dimensions.ipynb | 216 KB | ||
| 29 - Fisher-Discriminant-Analysis-with-3-Dimensions.pdf | 251 KB | ||
| 3 - Basic Visualization.mp4 | 104.7 MB | ||
| 3 - Basic-Visualization.ipynb | 116.6 KB | ||
| 3 - Basic-Visualization.pdf | 277.2 KB | ||
| 30 - Images.mp4 | 2 MB | ||
| 31 - Introduction to Image Dataset.mp4 | 91.3 MB | ||
| 31 - Introduction-to-Image-Dataset.ipynb | 22.2 KB | ||
| 31 - Introduction-to-Image-Dataset.pdf | 302.8 KB | ||
| 32 - Fisher Discriminant Analysis.mp4 | 182.8 MB | ||
| 32 - Fisher-Discriminant-Analysis.ipynb | 316.7 KB | ||
| 32 - Fisher-Discriminant-Analysis.pdf | 303.2 KB | ||
| 33 - Introduction to the Dataset.mp4 | 99.7 MB | ||
| 33 - Introduction-to-the-Dataset.ipynb | 15.5 KB | ||
| 33 - Introduction-to-the-Dataset.pdf | 173.7 KB | ||
| 33 - LifeExpectancy.csv | 367.2 KB | ||
| 34 - Preprocessing.ipynb | 31.3 KB | ||
| 34 - Preprocessing.mp4 | 159.5 MB | ||
| 34 - Preprocessing.pdf | 169 KB | ||
| 35 - Linear Regression.mp4 | 222.7 MB | ||
| 35 - Linear-Regression.ipynb | 303.5 KB | ||
| 35 - Linear-Regression.pdf | 167.9 KB | ||
| 36 - Metrics.ipynb | 316.6 KB | ||
| 36 - Metrics.mp4 | 96.9 MB | ||
| 36 - Metrics.pdf | 162.4 KB | ||
| 37 - Cross Validation.mp4 | 155.6 MB | ||
| 37 - Cross-Validation.ipynb | 327.3 KB | ||
| 37 - Cross-Validation.pdf | 245.1 KB | ||
| 38 - Ridge Regression and Cross Validation.mp4 | 325.2 MB | ||
| 38 - Ridge-Regression.pdf | 186.4 KB | ||
| 39 - Lasso Regression and Cross Validation.mp4 | 128.3 MB | ||
| 39 - Lasso-Regression.ipynb | 388 KB | ||
| 39 - Lasso-Regression.pdf | 167.2 KB | ||
| 4 - Introduction to PCA.mp4 | 19.9 MB | ||
| 4 - Introduction-to-PCA.pdf | 194.4 KB | ||
| 40 - Analysis.mp4 | 121.1 MB | ||
| 40 - Initial-Analysis.pdf | 155.4 KB | ||
| 41 - Data Scaling.mp4 | 244.6 MB | ||
| 41 - Data-Scaling.pdf | 160.1 KB | ||
| 41 - Scaling-Data.ipynb | 582.9 KB | ||
| 42 - One-Hot-Encoding.ipynb | 617.4 KB | ||
| 42 - One-Hot-Encoding.pdf | 201.1 KB | ||
| 42 - OneHot Encoding.mp4 | 176.7 MB | ||
| 43 - Regularization.mp4 | 170.7 MB | ||
| 44 - Final Results.mp4 | 81.6 MB | ||
| 44 - Final-Results.ipynb | 1.2 MB | ||
| 44 - Final-Results.pdf | 155.1 KB | ||
| 44 - LifeExpectancy.csv | 367.2 KB | ||
| 45 - Introduction to the Dataset.mp4 | 103.3 MB | ||
| 45 - Introduction-to-the-Dataset.ipynb | 45.8 KB | ||
| 45 - Introduction-to-the-Dataset.pdf | 193.9 KB | ||
| 46 - Partition of the Dataset Train and Test.mp4 | 68.6 MB | ||
| 46 - Partition-of-Dataset.ipynb | 49.5 KB | ||
| 46 - Partition-of-the-Dataset.pdf | 191 KB | ||
| 47 - Preprocessing.ipynb | 151 KB | ||
| 47 - Preprocessing.mp4 | 163.2 MB | ||
| 47 - Preprocessing.pdf | 194.8 KB | ||
| 48 - Principal Component Analysis.mp4 | 80.3 MB | ||
| 49 - Linear Discriminant Analysis.mp4 | 225.8 MB | ||
| 49 - Linear-Discriminant-Analysis.ipynb | 331.7 KB | ||
| 49 - Linear-Discriminant-Analysis.pdf | 315 KB | ||
| 5 - Introduction to the Dataset.mp4 | 166.4 MB | ||
| 5 - Introduction-to-the-Dataset.ipynb | 43.9 KB | ||
| 5 - Introduction-to-the-Dataset.pdf | 168 KB | ||
| 5 - crabs.csv | 6 KB | ||
| 50 - Naive Bayes Classifier.mp4 | 128.9 MB | ||
| 50 - Naive-Bayes-Classifier.pdf | 314.4 KB | ||
| 50 - Naives-Bayes.ipynb | 392.1 KB | ||
| 51 - Quadratic Classifier.mp4 | 76.5 MB | ||
| 51 - Quadratic-Classifer.ipynb | 443.6 KB | ||
| 51 - Quadratic-Classifier.pdf | 313.7 KB | ||
| 52 - Logistic Regression.mp4 | 209.1 MB | ||
| 52 - Logistic-Regression.ipynb | 550.9 KB | ||
| 52 - Logistic-Regression.pdf | 313.9 KB | ||
| 53 - Introduction to Support Vector Machines.mp4 | 7.5 MB | ||
| 54 - Energy.csv | 4.3 MB | ||
| 54 - Introduction to the Dataset.mp4 | 93.8 MB | ||
| 54 - Introduction-to-the-Dataset.ipynb | 48.4 KB | ||
| 54 - Introduction-to-the-Dataset.pdf | 362.1 KB | ||
| 55 - Partition of the Dataset Target Variable.mp4 | 37 MB | ||
| 55 - Partition-of-the-Dataset-Target-Variable.ipynb | 49.4 KB | ||
| 55 - Partition-of-the-Dataset-Target-Variable.pdf | 424.9 KB | ||
| 56 - Partition of the Dataset Time Series Windows.mp4 | 120.4 MB | ||
| 56 - Partition-of-the-Dataset-Time-Series-Windows.ipynb | 52.4 KB | ||
| 56 - Partition-of-the-Dataset-Time-Series-Windows.pdf | 491.9 KB | ||
| 57 - SVM-Linear-Kernel.ipynb | 157 KB | ||
| 57 - Support Vector Machine Linear Kernel.mp4 | 194.4 MB | ||
| 57 - Support-Vector-Machine-Linear-Kernel.pdf | 516.3 KB | ||
| 58 - SVM-Polynomial-Kernels.ipynb | 257.7 KB | ||
| 58 - Support Vector Machines Polynomial Kernels.mp4 | 74.6 MB | ||
| 58 - Support-Vector-Machine-Polynomial-Kernels.pdf | 516.6 KB | ||
| 59 - SVM-RBF-Kernel.ipynb | 359.8 KB | ||
| 59 - Support Vector Machine Radial Basis Function RBF Kernel.mp4 | 123.4 MB | ||
| 59 - Support-Vector-Machine-RBF-Kernel.pdf | 537.8 KB | ||
| 6 - Initial Visualization.mp4 | 217.2 MB | ||
| 6 - Initial-Visualization.ipynb | 719.2 KB | ||
| 6 - Initial-Visualization.pdf | 243.9 KB | ||
| 6 - crabs.csv | 6 KB | ||
| 60 - Introduction to Support Vector Machines.mp4 | 6.4 MB | ||
| 61 - Introduction to the Dataset.mp4 | 41.5 MB | ||
| 61 - Introduction-to-the-Dataset.ipynb | 5.3 KB | ||
| 61 - Introduction-to-the-Dataset.pdf | 492 KB | ||
| 61 - labels | 36.1 KB | ||
| 61 - text | 7.2 MB | ||
| 62 - Partition of the Dataset.mp4 | 92.3 MB | ||
| 62 - Partition-of-the-Dataset.ipynb | 11.3 KB | ||
| 62 - Partition-of-the-Dataset.pdf | 542.9 KB | ||
| 63 - Transformation to Data Matrix.mp4 | 147.6 MB | ||
| 63 - Transformation-to-Data-Matrix.ipynb | 344.4 KB | ||
| 63 - Transformation-to-Data-Matrix.pdf | 777.4 KB | ||
| 64 - Dimensionality Reduction.mp4 | 120.7 MB | ||
| 64 - Dimensionality-Reduction.ipynb | 568.7 KB | ||
| 64 - Dimensionality-Reduction.pdf | 609.5 KB | ||
| 65 - SVM-with-Linear-Kernel.ipynb | 682.4 KB | ||
| 65 - Support Vector Machine Linear Kernel.mp4 | 175.1 MB | ||
| 65 - Support-Vector-Machine-Linear-Kernel.pdf | 742.1 KB | ||
| 66 - SVM-with-Polynomial-Kernels.ipynb | 785.7 KB | ||
| 66 - Support Vector Machines Polynomial Kernels.mp4 | 136.1 MB | ||
| 66 - Support-Vector-Machine-Polynomial-Kernels.pdf | 742.4 KB | ||
| 67 - SVM-with-RBF-Kernel.ipynb | 876.3 KB | ||
| 67 - Support Vector Machine Radial Basis Function RBF Kernel.mp4 | 76.1 MB | ||
| 67 - Support-Vector-Machine-RBF-Kernel.pdf | 743.1 KB | ||
| 68 - Introduction to Neural Networks.mp4 | 22.1 MB | ||
| 68 - Introduction-to-Neural-Networks.pdf | 382.4 KB | ||
| 69 - Dataset Information.mp4 | 4.7 MB | ||
| 7 - PCA-in-Crabs-Dataset.ipynb | 986.5 KB | ||
| 7 - Using PCA.mp4 | 461.4 MB | ||
| 7 - Using-PCA.pdf | 388.9 KB | ||
| 70 - Introduction to the Dataset.mp4 | 93.8 MB | ||
| 70 - Introduction-to-the-Dataset.ipynb | 48.4 KB | ||
| 70 - Introduction-to-the-Dataset.pdf | 362.1 KB | ||
| 71 - Partition of the Dataset Target Variable.mp4 | 37 MB | ||
| 71 - Partition-of-the-Dataset-Target-Variable.ipynb | 49.4 KB | ||
| 71 - Partition-of-the-Dataset-Target-Variable.pdf | 424.9 KB | ||
| 72 - Partition of the Dataset Time Series Windows.mp4 | 120.4 MB | ||
| 72 - Partition-of-the-Dataset-Time-Series-Windows.ipynb | 52.4 KB | ||
| 72 - Partition-of-the-Dataset-Time-Series-Windows.pdf | 491.9 KB | ||
| 73 - MLP.ipynb | 163.7 KB | ||
| 73 - Multilayer Perceptron Neural Network.mp4 | 307.7 MB | ||
| 73 - Multilayer-Perceptron-Neural-Network.pdf | 540.3 KB | ||
| 74 - Consumption.zip | 753 KB | ||
| 74 - Introduction to the Dataset.mp4 | 124.3 MB | ||
| 74 - Introduction-to-the-Dataset.ipynb | 43.8 KB | ||
| 74 - Introduction-to-the-Dataset.pdf | 522.6 KB | ||
| 75 - Partition of the Dataset.mp4 | 65 MB | ||
| 75 - Partition-of-the-Dataset.ipynb | 45 KB | ||
| 75 - Partition-of-the-Dataset.pdf | 586.9 KB | ||
| 76 - Multilayer-Perceptron-Neural-Network-Preprocessing.ipynb | 48 KB | ||
| 76 - Neural Network Preprocessing.mp4 | 83.4 MB | ||
| 76 - Neural-Network-Preprocessing.pdf | 650.7 KB | ||
| 77 - Neural Network Training.mp4 | 181.2 MB | ||
| 78 - Neural Network Performance Evaluation.mp4 | 113.2 MB | ||
| 78 - Performance-Evaluation.ipynb | 162.2 KB | ||
| 78 - Performance-Evaluation.pdf | 853.2 KB | ||
| 8 - Introduction to LLE.mp4 | 19.6 MB | ||
| 8 - Introduction-to-LLE.pdf | 237 KB | ||
| 9 - Locally Linear Embedding Algorithm.mp4 | 19.2 MB | ||
| 9 - Locally-Linear-Embedding-Algorithm.pdf | 296 KB | ||
| [CourseClub.Me].url | 102.4 B | ||
| [FreeCourseSite.com].url | 102.4 B | ||
| [GigaCourse.Com].url | 0 B | ||
| ▲ 226 total files | |||
Udemy - The Complete Machine Learning Course: From Zero to Expert! [FCS]
Learn Machine Learning in Python from scratch. Everything you need to get the job you want! Code templates included.
Created by Lucas Bazilio
Last updated 2/2023
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