Welcome to the Shaastra session on Data Science and Machine Learning!
You're welcome to clone this repository locally but if you want, you could also run it via Google Colab using the following tag
Link for the colab notebooks:
- Refresher to Python
- Intro to Machine Learning with Linear Regression
- Logistic Regression
- Support Vector Machines
- K-Means
- Decision Trees
You could also learn some of the following algorithms in your own time:
- Principal Component Analysis
- Linear Discriminant Analysis
- Naive Bayes
- K Nearest Neighbours
- Random Forests
- Bagging and Boosting
- XGBoost