Stock Price Prediction in Python (Machine Learning)

By Pushkar Jain

Descriptive Analysis of the dataset (Statistical analysis and visualization) and comparison between accuracies of the different regression model.

Stock Price Prediction

This project uses the Stock Price Prediction dataset available on Kaggle. It contains a descriptive analysis of the dataset (Statistical analysis and visualization), which helps choose the most important features for predicting stock prices.

After that, different prediction models are applied to the selected features.

Further data is converted into a time series data and the some more models are used

Models Used:

+ Linear Regression

+ ANN

+ CNN

+ LSTM