ML-101

The video recording of both the days are now available: Day-1, Day-2.

This is a repository of all notebooks and presentations used in ML-101 event for explaining basics of machine learning for newcomers.

Some points to note on how to use this repository:

1. Kindly open the notebooks in Colab using the "Open in Colab" button on each notebook.
2. Experiment with the code by changing hyperparameters, epochs, learning rate, etc. If you face any abnormal outputs, feel free to ping us.
3. Kindly do the TODOs mentioned in certain notebook to explore more algorithms.

To read about some of these topics, check out our blogs:

1. Back to basics with Linear Regression
2. Understanding Decision Trees
3. Supporting SVMs (Support Vector Machines)
4. The secrets of SVM

Any doubts, feel free to ask your queries, especially those who couldn't attend at [email protected].

Developed with ❤️ by:

Arghyadeep Das

Mayank Chowdhary

Tejas Khanolkar

Rahil Parikh

Aayush Chheda