This is a repo for all people to learn about the fundamentals of machine learning :)
Please find materials for our lessons here.
We have covered:
- The Fundamentals of Python [https://github.com/YM2132/QMML/blob/main/lesson_2_fundamentals_of_python.ipynb]
- Backpropogation From Scratch [https://github.com/YM2132/QMML/blob/main/lesson_3.ipynb]
- Advice on internships [https://github.com/YM2132/QMML/blob/main/lesson_4_internships.ipynb]
- Loss Functions from Scratch [https://github.com/YM2132/QMML/blob/main/lesson_6_loss_functions.ipynb]
- K-Nearest Neighbours from Scratch [https://github.com/YM2132/QMML/blob/main/lesson_5_KNN.ipynb]
- Simple Linear Regression from Scratch [https://github.com/YM2132/QMML/blob/main/lesson_8_applying_simple_linear_regression.ipynb]
- Multiple Linear Regression from Scratch [https://github.com/YM2132/QMML/blob/main/lesson_10_Linear_Regression_From_Scratch.ipynb]
- A Walk Through of a Simple Kaggle Competition [https://github.com/YM2132/QMML/blob/main/lesson_9_playing_around_with_Kaggle.ipynb]