Kaggle's 30 Days Of Machine Learning Challenge

Day 1 - Titanic. Machine Learning from Disaster

The competition is simple: we want you to use the Titanic passenger data (name, age, price of ticket, etc) to try to predict who will survive and who will die.

Day 2 - Exercise: Syntax, Variables, and Numbers

Day 3 - Exercise: Functions and Getting Help

Day 4 - Exercise: Booleans and Conditionals

Day 5 - Exercise: Lists, Loops and List Comprehensions

Day 6 - Exercise: Strings and Dictionaries

Day 7 - Exercise: Working with External Libraries

Day 8 - Exercise: Explore Your Data

Day 9 - Your First Machine Learning Model

Day 10 - Underfitting and Overfitting

Day 11 - Machine Learning Competitions

Day 12 - Intermediate Machine Learning. Introduction, Missing Values, Categorical Variables

Day 13 - Pipelines, Cross-Validation

Day 14 - XGBoost, Data Leakage