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Time Series Prediction (Stock Market)

Jay Gohil

Jay Gohil

Gandhinagar, Gujarat

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  • 0 Collaborators

An AI model that predicts stocks' value with multivariate input! ...learn more

Project status: Published/In Market

Artificial Intelligence

Code Samples [1]

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

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