Machine Learning Lab VTU

Repo with programs for the Machine Learning Lab (15CSL76). All the programs are in .ipnyb Jupyter notebook format.

Instructions

• If you open this repo on your phone, make sure to switch to a Desktop Version of the site to see the notebooks in your browser
• Firstly, Make sure you have Git set up and running in your system.
• Download this repo or clone by typing
  git clone https://github.com/rumaan/machine-learning-lab-vtu.git
• cd machine-learning-lab-vtu or move into that directory and run jupyter notebook which will open up a Jupyter Notbook instance in your browser.
• Select the notebook/program and start executing! 👨‍💻👩‍💻

Dependencies and Modules used

• Python
• Jupyter
• Numpy
• Pandas
• Sklearn
• Matplotlib
• SciPy
• Bayespy
• pgmpy

You can install these dependencies by doing pip install dependecy_name and also make sure to replace pip with pip3 if you are using Python3 or above.

Be Advised, I am not the owner of the code posted here. This repo consists of programs/code combined/modified from various sources like Lab Manuals, Youtube etc. 😇

Other Info

• /py/trimmed/ directory contains all the programs in .py format
• Make sure to change the datasets path in those .py files as required!
• Check out the convert_to_py.sh script to know more about converting the .ipnyb files into .py

chmod 755 convert_to_py.sh
bash convert_to_py.sh

Contributing to the Repo (if its your first time)

You can look here for some inspiration on how to submit a Pull Request (PR)

Basic Steps are :

• Fork the repo
• Download/Clone the forked repo into your local machine
• Modify/Add Contents
• Push to your repo
• Submit PR from your fork

And you are good to go! 🎉