AkshayaRC/ml-lite

A minimal friendly intro to Machine Learning and Deep Learning in Python targeted for absolute beginners

ml-lite

A minimal friendly introduction to Machine Learning and Deep Learning in Python targeted for absolute beginners

The reading materials for Python basics can be found in /Python-Tutorials/notebooks/ folder and assignments can be found in /Python-Tutorials/exercises folder

Getting started with learning materials

You can use Google Collab (a simple one click solution from Google) to read and playaround with the learning materials/notebooks. We recommend you to use this setup, to avoid any version or installation problems. To Open a notebook in this GitHub Repository in Google Collab:

• Open Google Collab and choose GITHUB tab
• Copy the GitHub link to the notebook that you want to open (For instance: https://github.com/screel-labs/ml-lite/blob/master/Python-Tutorials/notebooks/Python_Basics_and_Strings.ipynb)
• Paste this Github link in Google Collab and hit the Search Icon
• It shows the notebook's name along with the name of the repository and current branch.
• Click on the notebook's name to get started

Getting started with assignments

To work on the assignments in your local machine, make sure you have completed these steps

• Create a conda environment
• Setup Pycharm project (using the conda environment)