Daily sessions for the students to get started with Data Science.
- Day 1 - Getting started ( Basic setup and What is Python )
- Day 2 - Introduction to Python and How Python allocates memory.
- Day 3 - Numpy and Matplotlib + bonus ( some detailed visualisation )
- Day 4 - Pandas
- Day 5+6 - Interesting stuff
- Visualization-challenge - Visualization Challenge
- Day 7 - An Introduction to ML and What are the different buzz words we hear about every day
- Day 8 - Linear regression and implementing one from scratch
- Day 9 - Implementing Polynomial regression from scratch + Overfitting & Underfitting
Guys this repo is going to be constantly updated everyday with new content. We will also be having daily excercises for everyone to work on. So please make sure to check it out.
- Setting up Git on Linux and Windows link
- Git command line tutorial link
- Some references and videos whole list of commands, videos, documentation
- Illustration showing how to submit a task link
For the case of these tasks I suggest everyone to please fork this repository to your personal GitHub page and create a python file on the corresponding day to solve the corresponding tasks for that day. Once done, please add the files on to your forked repository and make a pull request.
We will be going through all your codes and we will be checking them out. Once everyone puts their codes, we will be choosing the best one and merging the code to the main repository here.
We encourage you to do this as this will give you an understanding of GitHub as it very important and necessary. Next you will also be able to see everyones codes by clicking on the pull requests tab of this repo and we will ensure to reply and suggest improvements for everyone.
Please do make best use of this opportunity and feel free to communicate with us.
Also all the highlighted blue text you see are links please make sure to click them. NOT THIS ONE ¯_(ツ)_/¯
Also please feel free to post your issues and queries on the issues tab on this repo. We would also love to hear your feedback or suggestions and please let us know in case you want specific content.