Overview

In this project, a model that can predict the price of google stock using the Linear Regression Algorithm was built. It achieved over 98% accuracy.

The dataset that was used for this project was from August 2004 to March 2018, and was acquired from Quandl.

At the end of training and testing set, the model was asked to forecast future stock prices and below is a visualization of the forecast:

Dependencies

• Numpy
• Pandas
• Matplotlib
• Pickle
• Scikit-Learn

Usage

1. cd 'Predicting Google Stock Prices Using Linear Regression Algorithm'
2. python model.py

Credit

• Sentdex
• Quandl