Complete machine learning and data science zero to mastery 2020
Indexed public MEGA.nz folder containing 891 files across 22 folders, with a total indexed size of 19.2 GB. Last scan: Sep 30, 2026.
Indexed contents
891 files in 22 folders
Files
- 9. is vs ==.mp4
- 5. data from urls.html
- 1. section overview.mp4
- 2. project overview.mp4
- 4. truthy vs falsey.mp4
- 5. ternary operator.mp4
- 6. short circuiting.mp4
- 7. finding patterns.mp4
- 1. breaking the flow.mp4
- 2. conditional logic.mp4
- 6. numpy random seed.mp4
- 7. logical operators.mp4
- 9. manipulating data.mp4
- 2. numpy introduction.mp4
- 6. exploring our data.mp4
- 3. pandas introduction.mp4
- 7. setting up our data.mp4
- 8. manipulating arrays.mp4
- 1. milestone projects!.html
- 3. indentation in python.mp4
- 5. creating numpy arrays.mp4
- 5. google colab workspace.mp4
- 6. uploading project data.mp4
- 2. matplotlib introduction.mp4
- 3. setting up with google.html
- 4. setting up google colab.mp4
- 5. getting our tools ready.mp4
- 6. histograms and subplots.mp4
- 2. python developer monthly.html
- 3. project environment setup.mp4
- 5. scatter plot and bar plot.mp4
- 8. exercise logical operators.mp4
- 1. statistics and mathematics.html
- 6. describing data with pandas.mp4
- 7. viewing arrays and matrices.mp4
- 4. series, data frames and csvs.mp4
- 8. quick tip data visualizations.mp4
- 3. importing and using matplotlib.mp4
- 4. anatomy of a matplotlib figure.mp4
- 4. numpy datatypes and attributes.mp4
Showing a summary of 40 out of 891 files.
Folders
- 1. introduction
- 2. machine learning 101
- 3. machine learning and data science framework
- 4. the 2 paths
- 5. data science environment setup
- 6. pandas data analysis
- 7. numpy
- 8. matplotlib + seaborn plotting and data visualization
- 9. scikit-learn creating machine learning models
- 10. supervised learning classification + regression
- 11. milestone project 1 supervised learning (classification)
- 12. milestone project 2 supervised learning (time series data)
- 13. data engineering
- 14. neural networks deep learning, transfer learning and tensorflow 2
- 15. uploaded by feb 14th storytelling + communication how to present your projects
- 16. career advice + extra bits
- 17. learn python
- 18. learn python part 2
- 19. bonus learn advanced statistics and mathematics for free!
- 20. where to go from here
Showing a summary of 20 out of 22 folders.
Content summary
- Images
- 8
- Videos
- 155
- Archives
- 1
- Documents
- 7
- Others
- 291