Stock Prices Prediction

OBJECTIVE:

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

Data Used

https://www.kaggle.com/datasets/ankitthebemer/tata-steel-stock-dataset-20152021

Environment and Tools

• Jupyter Notebook
• Numpy
• Pandas
• Matplotlib
• Scikit-learn
• sklearn.model_selection
• sklearn.ensemble
• sklearn.linear_model