Instacart Market Basket Analysis Case Study

Table of Contents:

1. Business Problem

2. Dataset Overview

3. Mapping Real-World Problem As Machine Learning Problem

4. Performance Metric

5. Preprocessing

6. Exploratory Data Analysis

7. First Cut Approach

8. Feature Engineering

9. Machine Learning Modelling and Hyperparameter Tuning

10. Future Works

11. Conclusion

12. References

1. Business Problem:

2. Dataset Overview:

3. Mapping Real-World Problem As Machine Learning Problem:

4. Performance Metric:

5. Preprocessing:

6. Exploratory Data Analysis:

7. First Cut Approach:

8. Feature Engineering:

I. User related feature:

II. Product-related feature:

III.user and item related feature:

9. Machine Learning Modelling and Hyperparameter Tuning:

Logistic Regression:-

Xgboost:-

Addition of PCA features:-

Summary:

Future Works:

Conclusion:

References:

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