Predicting Conversions

1–2 minutes

This virtual project involved identifying which leads are more likely to convert to paid customers based on attributes of leads and their interaction details. Enclosed are parts of the analysis. Connect with me on LinkedIn to access the whole project with 56 pages (40/40 points).

This is one of the three capstone projects of data science and machine learning course from MIT Schwarzman College of Computing. View my certificate here.

Key skills: classification, hypothesis testing, decision trees, random forests and hyperparameter tuning and Python (Please see rubrics at the bottom for a detailed explanation of my skills.)

Rubrics