The repository is a learning excercise to:
- Apply the basic machine learning concept to an existing dataset.
- Train the model and predict the values for future.
- Creating a notebook and writing all computational records in it.
The analysis is divided into following sections:
- Importing the libraries and dataset
- Find number of trading days
- Create target dataset
- Splitting the dataset into training and test set
- Crate the models
- Predicting the values using the models
https://www.kaggle.com/datasets/ankitthebemer/tata-steel-stock-dataset-20152021
- Jupyter Notebook
- Numpy
- Pandas
- Matplotlib
- Scikit-learn
- sklearn.model_selection
- sklearn.ensemble
- sklearn.linear_model