gksoriginals / intro-to-machine-learning-workshop

Resources for the intro to machine learning workshop.

Intro-to-Machine-Learning-Workshop

This repository contains codes,resources and tasks for the machine learning workshop conducted in RIT as part of tinkerhub-RIT.

You need

• python
• sklearn

Get the code

git clone https://github.com/RITct/Intro-to-Machine-Learning-Workshop.git

Introduction to machine learning

Machine Learning is making sense of "DATA"!
Check out these blog posts toget a better intuition on machine learning

• A visual introduction to machine learning
• Analytics Vidhya:Machine Learning basics for a newbie

Hack on ..

There are ipynb notebooks with code and explanation.
Open the .ipynb file notebook in desktop browser in github.
Or install jupyter notebook.

pip install jupyter notebook

open terminal, go to the directory of cloned repository
then enter the command

jupyter notebook

This window will pop up



Open the .ipynb file to view it.

Run the python codes using

python filename.py

Tasks

In the first session of ml workshop we build a sentiment analyser using Naive bayes algorithm.
Here is a brief intro to naive bayes classifier.

Check out to know how our classifier recognised positive and negative sentences !

Check out the sklearn naive bayes documentation. We used Gaussian Naive bayes algorithm for our sentiment analyser.

Here is your first task

Reimplement sentiment analyser using other naive bayes alogrithms in sklearn. (i.e Bernoulli Naive Bayes and Multinomial Naive Bayes)