Teach@LUMS | Machine Learning and AI | Experiments

This repo contains the course material i taught @LUMS. The course name "Business Intelligence and Advance Analytics"

There are three main experiments.

• House Price Predictions
• Sentiment Analysis on Twitter data
• Heart Disease Predition

Intallation Guide

• Install Anaconda for Python 3.5
• Go to ( https://www.anaconda.com/download/ ) for more help
• Once installed, run Jupyter notebook.
• Download this repo. (you may have to sign-up to download the code)

Code Structure

• For each experiment, there is a seperate folder.
• Each folder has code files with ".ipynb" extension which will work in Jupyter, additionally there are data files with ".csv" extension
• Run the code files in Jupyter

Library installations.

• Incase, if there is an error for module not found while running the code, make sure all libraries are downloaded.
• You can download a library in juypter by following below steps:
  • Make a new cell block
  • Type !pip install libraryname.
  • This will install the given library.

Data required for experiments

• House price predictor : The data is inside the folder.
• Heart disease predictor : The data is inside the folder
• Sentiment Analysis : Since the data is big in size, download it from this link. it is a zip file, so extract it in the Sentiment Analysis folder
• The folder structure should look like this