Is your feature request related to a problem? Please describe.
Yes, The art of forecasting stock prices has been a difficult task for many of the researchers and analysts. Investors eagerly seek effective stock price prediction systems to guide successful investments and understand future market trends.
Describe the solution
I have used the ML Models like using LSTM, SVR, SGD, Random Forest, and Decision tree Regressor using historical stock price data and relevant financial indicators, preprocess the data, performing EDA, and check the prices, and compare the model's accuracy.
The alternatives i Have considered Exploring additional models like ARIMA, XGBoost, or ensemble methods for potential improvement in forecasting accuracy.
The dataset i have used from kaggle.
Link: https://www.kaggle.com/datasets/meetnagadia/coco-cola-stock-data-19622021/data
