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rohitinu6 / Stock-Price-Prediction

This project focuses on predicting the stock prices of "The State Bank Of India" using machine learning Regression algorithms.
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[FEATURE] No README.md File in data folder #110

Open AHSANATIQ98 opened 6 days ago

AHSANATIQ98 commented 6 days ago

Is this a unique feature?

Is your feature request related to a problem/unavailable functionality? Please describe.

Adding readme file will help people to understand dat. No EDA can be performed without data understanding.

Proposed Solution

Adding text which describes the summary of data.

Screenshots

No response

Do you want to work on this issue?

Yes

If "yes" to above, please explain how you would technically implement this (issue will not be assigned if this is skipped)

Dataset Overview: Contains historical stock data for SBI with daily records of open, high, low, close prices, adjusted close prices, and trading volume.

File Format: CSV (Comma-Separated Values)

Data Columns:

Date: Date of the trading session Open: Opening price High: Highest price during the session Low: Lowest price during the session Close: Closing price Adj Close: Adjusted closing price Volume: Number of shares traded Usage: This dataset can be used for stock price analysis, visualization, and predictive modeling.

Requirements:

Python with libraries like Pandas and Matplotlib (if analyzing/visualizing) Getting Started:

Clone the repository or download the CSV file. Load the data using Pandas for analysis. License: Specify the license under which the dataset is shared (e.g., MIT License).

github-actions[bot] commented 6 days ago

Ensure the issue is not similar or previously being worked on.Thanks for your time