Hello All!

I have been learning data science and machine learning for quite a while now, and I wanted to share this:
There is a curve that needs to be followed while learning data science. I have seen many people learning through online resources, and that is great! My experience with online resources was such that I had been unable to find a structured method to learn data science and machine learning in a flow. For this reason, I decided to create notes, for anyone who wanted to learn/revise what they have worked on or is planning to work on, and I uploaded these notes in a Day-wise format, to my GitHub repository.

I chose a day-wise format, so that people who want to learn/revise Python, EDA, and ML Algorithms, can easily spend about a day on a particular uploaded notebook, and can grasp knowledge in a day-wise manner, so everything stays fresh and the learning is in a step-wise manner.

My repository is based on the following:

1. Basic Python
2. Advanced Python
3. Exploratory Data Analysis
4. Machine Learning Algorithms (Supervised And Unsupervised)

Here's the link: https://github.com/shauryaa117/Learn-Python-Based-Data-Science

Happy learning! Stay safe!