Welcome to a project built with curiosity, passion, and a love for learning.
This is not just code — it’s a step toward understanding how data and AI can help us see patterns in the stock market.
The model predicts stock prices and shows them compared to actual values on a graph.
This project uses machine learning (LSTM model) to predict stock prices based on historical data.
It takes real stock data, processes it, trains a deep learning model, and then makes predictions.
If you’re new to ML or just curious about the stock market, this is a great place to start.
- How to collect stock data using Yahoo Finance
- How to clean and prepare time-series data
- How LSTM (a type of neural network) works for prediction
- How to visualize stock price predictions vs real prices
- Python
- Pandas & NumPy
- Matplotlib
- Scikit-learn
- TensorFlow / Keras
- yfinance (Yahoo Finance API)
- Clone the repo:
git clone https://github.com/AdilShamim8/Stock_Price_Prediction.git cd Stock_Price_Prediction
2. Install the required libraries:
```bash
pip install -r requirements.txt
-
Run the project:
python main.py
Feel free to fork this repo, play with the code, and improve it. Pull requests and suggestions are always welcome!
Made by Adil Shamim Let’s connect and build cool things together.
- LinkedIn: adilshamim8
- Kaggle: adilshamim8
- X: adil_shamim8