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| 1. Analyse Data With Different Data Sets Titanic Project.mp4 | 10 MB | ||
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| 1. Arrays in r programming.mp4 | 28 MB | ||
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| 1. Be Smart and Use Data But How Answer is Data Science with Python.mp4 | 13.7 MB | ||
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| 1. Data Frame Attributes and Methods.mp4 | 79.8 MB | ||
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| 1. Data Types in Python.mp4 | 41.1 MB | ||
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| 1. Logic of Object Oriented Programming.mp4 | 16.4 MB | ||
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| 1. Matrices in R programming.mp4 | 50 MB | ||
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| 1. Vector Basics in R.mp4 | 42 MB | ||
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| 1. What Is Data Science.mp4 | 20.2 MB | ||
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| 1. What is Artificial Neural Network (ANN).mp4 | 23 MB | ||
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| 1. What is Numpy.mp4 | 26.7 MB | ||
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| 1. What is Transfer Learning.mp4 | 85.3 MB | ||
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| 1.1 Project - I - Questions.txt | 819.2 B | ||
| 1.2 Titanic.csv | 57.4 KB | ||
| 10. Combining Data Frames Part – II.mp4 | 84.2 MB | ||
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| 10. Exercise Solution in Python.mp4 | 47.7 MB | ||
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| 13. Gathering data in Deep learning.mp4 | 17.6 MB | ||
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| 14. Data pre-processing in Deep learning.mp4 | 26 MB | ||
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| 17. Evaluation in deep learning.mp4 | 24.4 MB | ||
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| 2. Anatomy of Neural Network in Artificial intelligence.mp4 | 42.3 MB | ||
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| 2. Array and Features in Numpy Python.mp4 | 47.9 MB | ||
| 2. Array and Features in Numpy Python.srt | 11.4 KB | ||
| 2. Atomic Vector Types in R.mp4 | 24.1 MB | ||
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| 2. Constructor in Object Oriented Programming.mp4 | 33.9 MB | ||
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| 2. Controlling Figure Aesthetics in Seaborn.mp4 | 39.2 MB | ||
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| 2. Data Frame Attributes and Methods Part – II.mp4 | 57 MB | ||
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| 2. Example - 1.mp4 | 36.4 MB | ||
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| 2. History of Machine Learning.mp4 | 23.9 MB | ||
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| 2. Installing Anaconda for Mac, Python Data Science.mp4 | 53 MB | ||
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| 2. Manipulating Categorical Data with Forcats in R.mp4 | 132.7 MB | ||
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| 2. Naming Matrix Row and Columns in R programming.mp4 | 48.1 MB | ||
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| 2. Naming Variables and Observations in DF.mp4 | 27.5 MB | ||
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| 2. Operators in Python.mp4 | 29.6 MB | ||
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| 2. Project - 2.mp4 | 169.3 MB | ||
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| 2. Project Files and Course Documents Data Science, Python data science.html | 409.6 B | ||
| 2. Quiz Machine Learnig, Deep Learning.html | 204.8 B | ||
| 2. Quiz.html | 204.8 B | ||
| 2. R Console Versus R Studio.mp4 | 22 MB | ||
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| 2. Select Columns with Select Function in R programming.mp4 | 60.6 MB | ||
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| 2. Subsections of an Array in r programming.mp4 | 68.4 MB | ||
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| 2. Titanic Project Answers in python projects.mp4 | 89 MB | ||
| 2. Titanic Project Answers in python projects.srt | 21.4 KB | ||
| 2. Using Matplotlib.mp4 | 26.5 MB | ||
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| 2.1 poaching_points_cleaned.csv | 24.2 KB | ||
| 3. Array Operators in Numpy.mp4 | 17.6 MB | ||
| 3. Array Operators in Numpy.srt | 4.2 KB | ||
| 3. Calculating With Matrices in Python Data science.mp4 | 59.1 MB | ||
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| 3. Conditionals in Python.mp4 | 34.6 MB | ||
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| 3. Converting Data Types of Atomic Vectors in R.mp4 | 32.2 MB | ||
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| 3. Creating a Simple ANN in Artificial intelligence.mp4 | 79.5 MB | ||
| 3. Creating a Simple ANN in Artificial intelligence.srt | 14.5 KB | ||
| 3. Data Frame Attributes and Methods Part – III.mp4 | 48 MB | ||
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| 3. Example - 2.mp4 | 76.3 MB | ||
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| 3. Example in Seaborn.mp4 | 51.4 MB | ||
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| 3. FAQ about Complete data science with R, deep learning, machine learning.html | 20 KB | ||
| 3. Filtering Rows with Filter Function in R programming.mp4 | 169.7 MB | ||
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| 3. Graphs and Charts in Python data science.mp4 | 139.9 MB | ||
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| 3. Let's Meet Jupyter Notebook for Windows.mp4 | 25.4 MB | ||
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| 3. Manipulating Values in DF.mp4 | 145.3 MB | ||
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| 3. Methods in Object Oriented Programming.mp4 | 23.6 MB | ||
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| 3. Project - 3.mp4 | 82.4 MB | ||
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| 3. Project II Bike Sharing.mp4 | 13.7 MB | ||
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| 3. Pyplot – Pylab - Matplotlib.mp4 | 26.6 MB | ||
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| 3. Quiz Data Science, Python Data Science.html | 204.8 B | ||
| 3. Turing Machine and Turing Test.mp4 | 40.9 MB | ||
| 3. Turing Machine and Turing Test.srt | 13.3 KB | ||
| 3.1 Bike_Share_London.csv | 368.5 KB | ||
| 3.1 scores.csv | 1.4 KB | ||
| 3.1 world_cities_pop.csv | 156.7 MB | ||
| 3.2 Project - II - Questions.txt | 921.6 B | ||
| 4. Adding and Removing Variables in R Programming.mp4 | 41.5 MB | ||
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| 4. Arranging Rows with Arrange Function in R.mp4 | 129.4 MB | ||
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| 4. Basics of Jupyter Notebook for Mac.mp4 | 14.8 MB | ||
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| 4. Bike Sharing Project Answers.mp4 | 147.3 MB | ||
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| 4. Color Palettes in Seaborn.mp4 | 45.4 MB | ||
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| 4. Example - 3.mp4 | 47.8 MB | ||
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| 4. Figure, Subplot and Axes in Matplotlib.mp4 | 65.7 MB | ||
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| 4. Indexing and Slicing in Numpy Python.mp4 | 40.4 MB | ||
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| 4. Inheritance in Object Oriented Programming.mp4 | 32.6 MB | ||
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| 4. Loops in Python.mp4 | 49.1 MB | ||
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| 4. Multi Index in Pandas.mp4 | 50.8 MB | ||
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| 4. Test Functions in R.mp4 | 13 MB | ||
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| 4. What is Deep Learning.mp4 | 20.5 MB | ||
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| 5. Adding New Variables with Mutate Function in R.mp4 | 63.1 MB | ||
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| 5. Basic Plots in Seaborn.mp4 | 92.8 MB | ||
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| 5. Figure Customization in Matplotlib.mp4 | 59.1 MB | ||
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| 5. Groupby Operations in Pandas.mp4 | 52.6 MB | ||
| 5. Groupby Operations in Pandas.srt | 12.2 KB | ||
| 5. Learning representations from data.mp4 | 34.9 MB | ||
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| 5. Lists, Tuples, Dictionaries and Sets in Python.mp4 | 66.3 MB | ||
| 5. Lists, Tuples, Dictionaries and Sets in Python.srt | 17.4 KB | ||
| 5. Numpy Exercises.mp4 | 74.2 MB | ||
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| 5. Overriding and Overloading in OOP.mp4 | 58.9 MB | ||
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| 5. Project III Housing and Property Sales.mp4 | 10.3 MB | ||
| 5. Project III Housing and Property Sales.srt | 3.6 KB | ||
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| 5. Tensor Operations 2.mp4 | 29.8 MB | ||
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| 5. Tibbles in R.mp4 | 83.7 MB | ||
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| 5. Vector Recycling and Iterations in R.mp4 | 34.5 MB | ||
| 5. Vector Recycling and Iterations in R.srt | 4.6 KB | ||
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| 6. Answer for Housing and Property Sales Project.mp4 | 155 MB | ||
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| 6. Data Type Operators and Methods in Python.mp4 | 40.5 MB | ||
| 6. Data Type Operators and Methods in Python.srt | 8.9 KB | ||
| 6. Grouped Summaries with Summarize Function in R.mp4 | 148.6 MB | ||
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| 6. Keras API in Artificial intelligence.mp4 | 23.3 MB | ||
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| 6. Missing Data and Data Munging in Pandas.mp4 | 79.3 MB | ||
| 6. Missing Data and Data Munging in Pandas.srt | 21.9 KB | ||
| 6. Multi-Plots in Seaborn.mp4 | 40.9 MB | ||
| 6. Multi-Plots in Seaborn.srt | 10.7 KB | ||
| 6. Naming Vectors in R.mp4 | 34.2 MB | ||
| 6. Naming Vectors in R.srt | 4.3 KB | ||
| 6. Plot Customization in matplotlib.mp4 | 25.8 MB | ||
| 6. Plot Customization in matplotlib.srt | 6.6 KB | ||
| 6. Quiz Python data science, R programming.html | 204.8 B | ||
| 6. Quiz.html | 204.8 B | ||
| 6. Workflow of Machine Learning.mp4 | 31.7 MB | ||
| 6. Workflow of Machine Learning.srt | 10.7 KB | ||
| 7. Grid, Spines, Ticks in python.mp4 | 22.4 MB | ||
| 7. Grid, Spines, Ticks in python.srt | 8.1 KB | ||
| 7. Machine Learning Methods.mp4 | 45.5 MB | ||
| 7. Machine Learning Methods.srt | 16.1 KB | ||
| 7. Missing Data and Data Munging Part II.mp4 | 40.8 MB | ||
| 7. Missing Data and Data Munging Part II.srt | 10.7 KB | ||
| 7. Modules in Python.mp4 | 21.1 MB | ||
| 7. Modules in Python.srt | 5.3 KB | ||
| 7. Optimizers in Artificial intelligence.mp4 | 42.3 MB | ||
| 7. Optimizers in Artificial intelligence.srt | 11.9 KB | ||
| 7. Project IV English Premier League.mp4 | 13.5 MB | ||
| 7. Project IV English Premier League.srt | 4.8 KB | ||
| 7. Regression Plots and Squarify in Seaborn.mp4 | 56.5 MB | ||
| 7. Regression Plots and Squarify in Seaborn.srt | 15.5 KB | ||
| 7. Subsetting Vectors in R.mp4 | 46.2 MB | ||
| 7. Subsetting Vectors in R.srt | 5.5 KB | ||
| 7.1 2006-2018 EPL stats.csv | 53.9 KB | ||
| 7.1 age_data.csv | 661.5 KB | ||
| 7.2 Project - IV - Questions.txt | 1 KB | ||
| 7.2 water_usage.csv | 102.4 B | ||
| 8. Answers for English Premier League Project.mp4 | 153.6 MB | ||
| 8. Answers for English Premier League Project.srt | 28.1 KB | ||
| 8. Basic Plots in Matplotlib I.mp4 | 104.4 MB | ||
| 8. Basic Plots in Matplotlib I.srt | 30.3 KB | ||
| 8. Functions in Python.mp4 | 26.1 MB | ||
| 8. Functions in Python.srt | 8.9 KB | ||
| 8. How We Deal with Missing Data.mp4 | 69.2 MB | ||
| 8. How We Deal with Missing Data.srt | 15.5 KB | ||
| 8. Quiz.html | 204.8 B | ||
| 8. Supervised Machine Learning Methods - 1.mp4 | 30.9 MB | ||
| 8. Supervised Machine Learning Methods - 1.srt | 10.4 KB | ||
| 8. What is TensorFlow.mp4 | 62.6 MB | ||
| 8. What is TensorFlow.srt | 20.1 KB | ||
| 8.1 age_data.csv | 661.5 KB | ||
| 8.2 scatter_ex.xlsx | 11.3 KB | ||
| 9. Basic Plots in Matplotlib II.mp4 | 51.5 MB | ||
| 9. Basic Plots in Matplotlib II.srt | 15.6 KB | ||
| 9. Combining Data Frames in Pandas.mp4 | 103.6 MB | ||
| 9. Combining Data Frames in Pandas.srt | 17.1 KB | ||
| 9. Exercise Analyse in Python.mp4 | 5.7 MB | ||
| 9. Exercise Analyse in Python.srt | 2.2 KB | ||
| 9. Quiz.html | 204.8 B | ||
| 9. Supervised Machine Learning Methods - 2.mp4 | 55.4 MB | ||
| 9. Supervised Machine Learning Methods - 2.srt | 15.2 KB | ||
| 9.1 winequality.csv | 82.2 KB | ||
| [CourseClub.Me].url | 102.4 B | ||
| [FreeCourseSite.com].url | 102.4 B | ||
| [GigaCourse.Com].url | 0 B | ||
| ▲ 317 total files | |||
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Udemy - Complete Python Data Science, Deep Learning, R Programming
Python Data Science A-Z, Data Science with Machine Learning A-Z, Deep Learning A-Z, Pandas, Numpy and R Statistics.
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