Time Series Prediction (Stock Market)
Jay Gohil
Gandhinagar, Gujarat
- 0 Collaborators
An AI model that predicts stocks' value with multivariate input! ...learn more
Project status: Published/In Market
Overview / Usage
I worked on creating a stock market (time series) prediction model with input features that include adjusted closing price, adjusted volume, high low percentage and percentage change to predict future price of stock (with help of linear regression created using Scikit Learn library) with 99+ % accuracy.
Methodology / Approach
I worked on creating a stock market (time series) prediction model with input features that include adjusted closing price, adjusted volume, high low percentage and percentage change to predict future price of stock (with help of linear regression created using Scikit Learn library) with 99+ % accuracy.
Technologies Used
Technologies:
- NumPy
- pandas
- Python
- Data Science
- SciKit Learn
Repository
https://github.com/gohil-jay/Python-Workshop/tree/main/Time%20Series%20Prediction