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Machine Learning Lab - Book Rating

Description

This is an academic project from python ML class at Data ScienceTech Institute (DSTI) in Paris. We have provided with historical data about books ratings via a csv file (books csv) and instructed to build a ML model able to predict any given book rating from this dataset.

project plan

• EXECUTIVE SUMMARY
• INTRODUCTION
• METHOD
• RESULTS
• DISCUSSION
• CONCLUSION
• REFERENCE

EXECUTIVE SUMMARY

books_rating_project.

INTRODUCTION

METHOD
Step 1 : Problem understanding

• hypothesis generation.
• data inspection.

Step 2 : Data wrangling

Step 3 : EDA
Numerical summaries and data visualization.

Step 4 : Features engineering

Step 5 : Modelling and Machine learning

• models evaluation and selection
• model tuning.
• model Performance.
• hypothesis confirmation.

RESULTS

DISCUSSION

CONCLUSION

REFERENCE