Python Programming Code

Choose a Business Case (dataset should be large enough for accurate model building) for data analysis and model building for prediction/Classification/ clustering etc.. (you can use

all the ML algorithms). Before doing the analysis, data cleaning steps must be included.

2. You can choose any domain dataset

3. There must be at least 6 – 7 insights/observations taken from the dataset and each observation should have a proper reading/ explanation.

4. You must submit a single notebook file and a dataset file(csv file)

5. (Name, section, etc…) should be included in the jupyter notebook file only

6. mention the problem statement in the heading on .ipynb file

This is how your notebook file is supposed to be:

1. Give your name,ID
2. Give a project description at the heading
3. Problem statement
4. About the dataset
5. source of the data
6. data preparation
7. Algorithm
8. What you are expecting from the output/ model
9. Every graph/ visual should have an insight (mention about it, what you read from the graph), and how you are using it for further analysis.
10. Model building
11. model evaluation
12. Conclusion