Contents
Dataset Overview
This project uses the Tata Global Stock Price Dataset, which contains historical stock market information used to predict future closing prices.
The dataset records daily trading activity, including stock prices and trading volume, making it suitable for regression-based stock price prediction.
Dataset Download
You can download the dataset from Kaggle:
Note: If you are using a different stock dataset (such as Tata Global stock data from your instructor or YouTube tutorial), you can replace the CSV file accordingly. The implementation remains largely the same.
Dataset File
NSE-TATAGLOBAL.csv
Dataset Features
Feature | Description |
| Date | Trading date |
| Open | Opening stock price |
| High | Highest stock price |
| Low | Lowest stock price |
| Last | Last traded price |
| Close | Closing stock price |
| Total Trade Quantity | Number of shares traded |
| Turnover | Total trading value |
The Close column serves as the target variable that the model will predict.
Stock Price Prediction for Beginners using Data Science
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