This repository contains different algorithms applied for predicting Close value of US based stocks.
This also contains a file of diff_features where feature engineering is applied and visualized its nature on the processed data.
This is a historical time-series Data, so applied the standard time series models on it. We used the standard stats models such as ARIMA on this.
All in one, this is a complete repository dealing with time series stock data and giving a overall prediction using various methods.