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Stock-Forecast

Along with a comparison of different Machine Learning Algorithms

Installation Instructions

Following packages need to be installed before Numpy, Matplotlib, Scikit Learn (detailed instructions in individual folders)

Contents of Rep / List of files

Linear Regression - Using LR to predict stock prices (for comparison) SVM - Using SVM on same data to predict stock price Dataset - Code for obtaining data using csv, pandas, etc

Project Description

This is a python based data analytics tool (only for stock forecasting) developed as a Final year B.E. Project in Don Bosco Institue of Technology, Batch 2017.

Project Guide: Prof. Anagha Shastri Project Team Members: Anjali Singh, Divya Kumar, Kevin John, Nelson Morris.