I want to learn machine learning as fast as possible, because of its usefulness in basically any field of computer science. I want to finish this project in one semester with a deeper understanding of the past, present, and future developments in machine learning. I want to finish this project with a few machine learning projects built from scratch that I can show off. In the short term, I suppose all of this needs to contribute to my employability regarding internships. However, in the long term, I hope this project will become the solid foundation from which I build and create the rest of my machine learning knowledge.
To myself, godspeed.
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Week 1 (Jan 17 - 23):
- Setup Github repository with organized folders and a rough timeline.
- Setup vscode enviorment with Jupyter Notebook.
- Read Chapter 1.
- Complete Chapter 1 exercises.
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Week 2 (Jan 24 - 30):
- No work done. Saddness.
- Read Chapter 2.
- Complete End-to-End Machine Learning Project.
- Complete Chapter 2 Exercises.
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Week 3 (Jan 31 - Feb 6):
- No work done. Saddness.
- Read Chapter 3.
- Complete Chapter 3 exercises.
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Week 4 (Feb 7 - 13):
- No work done. Saddness.
- Read Chapter 4.
- Complete Chapter 4 exercises.
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Week 5 (Feb 14 - 20):
- Read Chapter 5.
- Complete Chapter 5 exercises.
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Week 6 (Feb 21 - 27):
- Read Chapter 6.
- Complete Chapter 6 exercises.
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Week 7 (Feb 28 - Mar 6):
- Read Chapter 7.
- Complete Chapter 7 exercises.
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Week 8 (Mar 7 - 13):
- Read Chapter 8.
- Complete Chapter 8 exercises.
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Week 9 (Mar 14 - 20):
- Read Chapter 9.
- Complete Chapter 9 exercises.
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Week 10 (Mar 21 - 27):
- Read Chapter 10.
- Complete Chapter 10 exercises.
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Week 11 (Mar 28 - Apr 3):
- Read Chapter 11.
- Complete Chapter 11 exercises.
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Week 12 (Apr 4 - 10):
- Read Chapter 12.
- Complete Chapter 12 exercises.
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Week 13 (Apr 11 - 17):
- Read Chapter 13.
- Complete Chapter 13 exercises.
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Week 14 (Apr 18 - 24):
- Read Chapter 14.
- Complete Chapter 14 exercises.
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Week 15 (Apr 25 - May 1):
- Read Chapter 15.
- Complete Chapter 15 exercises.
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Week 16 (May 2 - 8):
- Extra week for unexpected circumstances that may delay this project.
- Note: this is finals week.
We'll see if I can finish this first.