My self-study about the book from Efron and Hastie "Computer Age Statistical Inference". All jupyter notebooks from this repository are in portuguese (Brazil).

Meus estudos e experimentos para ajudar a consolidar os aprendizados relacionados aos fundamentos de estatística

🎓 A collection of Problem Sets for "MITx: 6.00.2x Introduction to Computational Thinking and Data Science", edX, March-May, 2021

🌟 Intern Performance Prediction Using Machine Learning 🌟 Using Python, Pandas, and Scikit-learn, I built a predictive model to estimate performance probability. Created 10+ colorful visualizations to explore key factors like feedback and consistency. Achieved 90%+ accuracy with Random Forest, revealing insights for personalized mentorship.

📊 Predict intern performance using machine learning to guide mentorship, enhance training, and improve outcomes based on data-driven insights.

Semester 2 | Tugas Confidence Interval

The image is a 2D educational illustration designed to visually represent the concept of statistical thinking and logistic regression. On the left side, a thoughtful figure symbolizes analytical reasoning, reflecting the mindset needed for statistical thinking. The right side of the image features a logistic regression plot — a classic S-shaped cur

This project simulates user behavior on a SaaS learning platform and analyzes product growth metrics using Python. The analysis focuses on understanding how users move through the product funnel, identifying drop-off points, and evaluating experiments that aim to improve conversion to paid users. The project also includes an A/B testing simulation