This repo contains following notebooks:
- Numpy Tutorial for beginners
- Pytorch Basics
- Statistical Measures
- Area under the curve
- Simple Linear Regression
- Introduction to Plotting
- Handling with Missing Data
- Understanding Decision Trees and Random Forest
- Introduction to backpropagation
- Learn KNN from scratch
- How to approach a dataset (Kaggle)
- Creating a Neural Network using PyTorch
- What are decorators?
You can access all the datasets used above in the notebooks from here : Datasets