└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # 100-Days-of-ML 2 | Curriculum to grasp the basics of ML in 100 Days designed by [Kaggle Coimbatore](). 3 | 4 | # Month 1 5 | 6 | - Week 1 : [Python Tutorials by Sentdex](https://www.youtube.com/watch?v=oVp1vrfL_w4&list=PLQVvvaa0QuDe8XSftW-RAxdo6OmaeL85M) 7 | - Week 2 : [PyGame with Python 3 Game Development by Sentdex](https://www.youtube.com/playlist?list=PLQVvvaa0QuDdLkP8MrOXLe_rKuf6r80KO) 8 | - Week 3 : [Tech with Tim's OOPS Concepts](https://www.youtube.com/watch?v=JeznW_7DlB0). 9 | [Python Project Tutorial Series](https://www.youtube.com/playlist?list=PLzMcBGfZo4-lMz6bsWzF2tt8K8iZJdLd1) 10 | 11 | - Week 4 : [Corey Schafer Flask Tutorial](https://www.youtube.com/playlist?list=PL-osiE80TeTs4UjLw5MM6OjgkjFeUxCYH) 12 | 13 | 14 | # Month 2 15 | 16 | - Week 1 : [Khan Academy Linear Algebra Playlist](https://www.youtube.com/playlist?list=PLFD0EB975BA0CC1E0) 17 | - Week 2 : [Khan Academy Calculus Playlist](https://www.youtube.com/playlist?list=PL19E79A0638C8D449) 18 | - Week 3 : [Khan Academy Statistics](https://www.youtube.com/playlist?list=PL1328115D3D8A2566) 19 | - Week 4 : [Andrew Ng's ML Playlist(Bible)](https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN) **HighlyRecommended** 20 | 21 | 22 | # Month 3 (DIY,Crucial) 23 | ## Week 1 : 24 | ## If you prefer Video Tutorials 25 | - [Numpy Basics](https://www.youtube.com/watch?v=GB9ByFAIAH4&t=3s) 26 | - [Matplotlib Basics](https://www.youtube.com/playlist?list=PL-osiE80TeTvipOqomVEeZ1HRrcEvtZB_) 27 | - [Pandas Basics](https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y) 28 | 29 | 30 | ## If you prefer Interactive Tutorials 31 | - [Stanford Numpy Tutorial](https://cs231n.github.io/python-numpy-tutorial/) **Highly Recommended*** 32 | - [DataCamp Matplotlib Tutorial](https://learn.datacamp.com/courses/introduction-to-matplotlib) 33 | - [Pandas DataCamp](https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python) 34 | 35 | ## Official Documentation 36 | - [Numpy Docs](https://numpy.org/) 37 | - [Pandas Docs](https://pandas.pydata.org/) 38 | - [Matplotlib Docs](https://matplotlib.org/) 39 | 40 | 41 | ## Week 2 : 42 | - [DataSchool Sklearn Tutorial](https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A) 43 | - [Sklearn Official Docs](https://scikit-learn.org/) 44 | - [Sklearn FreeCodecamp Playlist](https://www.youtube.com/watch?v=pqNCD_5r0IU) 45 | 46 | ## Week 3 47 | - [Krish Naik Cricket Prediction](https://www.youtube.com/watch?v=4CtyDxfhoN8) 48 | - [Krish Naik Movie Reccomendation](https://www.youtube.com/watch?v=A_78fGgQMjM) 49 | - [Titanic Survivor](https://www.youtube.com/watch?v=fS70iptz-XU&t=) 50 | 51 | 52 | # Miscellanous 53 | 54 | - [Krish Naik Project Playlist](https://www.youtube.com/playlist?list=PLZoTAELRMXVNUcr7osiU7CCm8hcaqSzGw) 55 | - [Kaggle Competitions](https://www.youtube.com/playlist?list=PLZoTAELRMXVPiKOxbwaniXjHJ02bdkLWy) 56 | - [Ayon Roy's Curriculum](https://github.com/ayonroy2000/100DaysOfMLCode/blob/master/Coursework.md) 57 | 58 | 59 | # All the Best for your journey , Curriculum will be updated Regularly! 60 | 61 | 62 | With ♥️ [Kaggle Coimbatore]() 63 | --------------------------------------------------------------------------------