Train and test a model

Use any dataset provided in `data\` and build a model to provide the required solution. Split the data and perform training as well as testing. You are free to choose any model. The evaluation metric score will not be the rubric for assessment here.

Provide a step by step well documented solution (.ipynb) explaining what is the function of the code in the cell below and why are you using that particular approach where necessary.

Start by inspecting the datasets under data\ and identifying the required solution, since the issue does not specify a dataset, target, or model. Build the work in an .ipynb with documented data splitting, training, and testing steps. Done means the notebook provides a complete, step-by-step explanation of the chosen approach.

Written by the indexing model from the issue text.