Stock-Price-Prediction

• In this project, I trained a Ridge regression model and deep neural network model to predict future stock prices.
• The AI model will be trained using historical stock price data along with volume of transactions.

1. Overview :

a. Goal :

• Based on volume and price data , can we predict stock prices?
• Why?
• Because while investing other peoples money we need to be really careful and we need real data to support our decisions rather than intuition

b. Impact :

• Optimization and revamp which improved the accuracy by 12%

c. Challenges Faced :

• Reshaping data while feeding into the model
• Optimization which needed multiple level of changes and multiple runs plus going through numerous research papers.

d. Interesting findings :

• With only a few layers we can get good accuracy.

Link to Github repository