This project aims to analyze the stock data of Tata Global (NSE: TATAGLOBAL) using the Quandl library, and to build and evaluate predictive models using the k-Nearest Neighbors (k-NN) algorithm. The models will be used to classify the movement of stock prices and to predict stock prices.
- Python 3.x
- Pandas
- NumPy
- Matplotlib
- Quandl
- Scikit-learn
First, clone the repository to your local machine:
git clone https://github.com/yourusername/your-repo.git
cd your-repo