- Learning new techniques and algorithms with handson practice
- Deployment with docker on cloud
- Working with tools that are free for open source
- Implementing theoretical algorithms to practice and solving real world problems
- Notebooks segregated by domain and nature of algorithms
- Analysis of real world open datasets
- Complete notebooks with depth analysis with conclusions
- Easy setup for anyone who wants to re run the code either via binder or local conda environment
Steps to locally setup development after cloning the project.
- create local python3 environment, preferably using anaconda