Objective Identify the most relevant demographic attributes and develop a model to predict the items for a user. Check if the new model improved the prediction or not.

Dataset Data: https://grouplens.org/datasets/movielens/100k/

Possible Work to be done

1. Write a Data Science Proposal for achieving the objective mentioned.

2. Perform exploratory analysis on the data.

3. Perform data wrangling / pre-processing.

4. Apply any 2 features engineering technique.

5. Plot top 10 features.

6. Identification of the performance parameters to be improved, for the given problem statement.

7. Design Machine Learning models Logistic regression and Decision tree to predict.

8. Compare the performance of selected feature engineering techniques.

9. Compare the performance of the 2 classifiers Logistic regression and Decision tree to predict.

10. Present the conclusions/results in the format shared.