Introduction to machine learning for data science
Indexed public MEGA.nz folder containing 187 files across 16 folders, with a total indexed size of 3.5 GB. Last scan: Sep 27, 2026.
Indexed contents
187 files in 16 folders
Files
- test.csv
- tbyds.jpg
- train.csv
- helloworld.py
- must read.txt
- numpy_logo.jpg
- scipy_logo.png
- pandas_logo.png
- python-logo.png
- tree-pruned.pdf
- tree-overfit.pdf
- numpy.clean.ipynb
- scipy.clean.ipynb
- titanic.clean.ipynb
- mathplotlib_logo.png
- gender_submission.csv
- scikit-learn-logo.png
- helloworld.clean.ipynb
- numpy.with-output.ipynb
- scikitlearn.clean.ipynb
- scipy.with-output.ipynb
- titanic.with-output.ipynb
- helloworld.with-output.ipynb
- pythoncrashcourse.clean.ipynb
- pandas and mathplotlib.clean.ipynb
- pythoncrashcourse.with-output.ipynb
- pandas and mathplotlib.with-output.ipynb
- 4. what problems does machine learning solve.mp4
- 1. impacts, importance and examples - overview.mp4
- 3. common platforms and tools for data science.mp4
- 2. a titanic example - understanding the data set.mp4
- 2. computer science - the `train wreck' definition.mp4
- 5. a titanic example - applying regression algorithms.mp4
- 2. crash course in python - strings, slices and lists!.mp4
- 2. a special message for hard of hearing and esl students.mp4
- 1. how to apply machine learning for data science - overview.mp4
- 5. secret sauce inside! how to get the most out of this course.mp4
- 4. crash course in python - functions, scope, dictionaries and more!.mp4
- 3. a titanic example - understanding the data set in regards to survival.mp4
- 3. crash course in python - expressions, operators, conditions and loops.mp4
Showing a summary of 40 out of 187 files.
Folders
- introduction to machine learning for data science
- codepackage.v3
- 1. introduction
- 2. core concepts
- 3. impacts, importance and examples
- 4. the machine learning process
- 5. how to apply machine learning for data science
- 6. conclusion
- 7. section 1 -bonus course - machine learning in python and jupyter for beginners
- 8. section 2 -bonus course - machine learning in python and jupyter for beginners
- 9. section 3 - bonus course - machine learning in python and jupyter for beginners
- 10. section 4 - bonus course - machine learning in python and jupyter for beginners
- 11. section 5 -bonus course - machine learning in python and jupyter for beginners
- 12. section 6 - bonus course - machine learning in python and jupyter for beginners
- 13. section 7 -bonus course - machine learning in python and jupyter for beginners
- 14. bonus content
Content summary
- Images
- 18
- Videos
- 59
- Archives
- 1
- Documents
- 18
- Others
- 91
