QUICK GUIDE FOR DATA SCIENCE

This repository contains a quick reference guide to support data science projects. Several Python libraries are used.

🚧 👷🏽‍♀️ Under construction

Methodologies

1. A/B testing
2. Data cleaning
3. Statistics

📚 Books

• BOOK | Introduction to Machine Learning with Python (Andreas C. Müller & Sarah Guido)
• BOOK | Hands on Machine Learning

Courses

• COURSE | Introdcution to Data Science with Python - CS109x (Harvard Online)
• COURSE | Data Visualisation (Kaggle)
• COURSE | Introduction to Machine Learning(Google)
• COURSE | Mathematics for Machine Learning(DeepLearning.AI)
• COURSE | Zoomcamp Machine Learning

Notes

• Tableau

Projects

• DATA ANALYSIS | Airlines
• DATA ANALYSIS | Car CO2 emissions
• DATA ANALYSIS | Coral
• ML / CLASSIFICATION | Wine Classifier
• ML / CLASSIFICATION | Titanic Survivors

Support folders

• data
• img
• cheatsheets