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Basics of ML libraries Explained through Jupyter Notebooks

License: MIT License

Jupyter Notebook 100.00%
jupyter-notebook pandas-tutorial numpy-tutorial data-visualization python3 python-library explanatory-data-analysis tutorial tutorial-code education community

explained's Introduction

Explained!

This is a repo that explains a lot of stuff that I'm currently working on.

Most of the stuff here is in Jupyter-Notebooks.

For those of you who don't know what Jupyter-Notebooks are and still want to read content, you can do so here.

Note: Not all content in my Github is present at the above link.

Using Jupyter - Notebooks

Prerequisites :

  1. Python

Install from : https://www.python.org/downloads/

  1. Jupyter Notebooks

Install from : https://jupyter.readthedocs.io/en/latest/install.html

How to Use

  1. Show some ❤️ by ⭐ing this repository.

  2. Clone the repository.

  3. Go to whichever notebook you want to use and run it on jupyter notebooks.

Using Google Colab

  1. Go to Google Colab

  2. Go to File -> Open Notebook -> Github

  3. Paste link to the specific notebook there and search. It should load automatically.

If you find any issues please raise them on the Issues page of this repoitory.

Note You'll need to change a few paths here and there and download the dataset.

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