Kaggle's 30 Days of ML learning challenge [Aug 2021]
Contents list
- Python
- Day 1 -- Getting started with Kaggle; first submission to Titanic
- Day 2 -- Syntax, Variables, and Numbers
- Day 3 -- Functions and Getting Help
- Day 4 -- Booleans and Conditionals
- Day 5.1 -- Lists
- Day 5.2 -- Loops and List Comprehensions
- Day 6 -- Strings and Dictionaries
- Day 7 -- Working with External Libraries
- Intro to Machine Learning
- Day 8 -- Explore Your Data
- Day 9.1 -- Your First Machine Learning Model (DecisionTreeRegressor)
- Day 9.2 -- Model Validation (mean_absolute_error)
- Day 10.1 -- Underfitting and Overfitting (max_leaf_nodes)
- Day 10.2 -- Random Forests (RandomForestRegressor)
- Day 11 -- Machine Learning Competitions (submission to Housing Prices Competition)
- Intermediate Machine Learning
- Day 12.1 -- Introduction to the Intermediate Machine Learning course
- Day 12.2 -- Missing Values
- Day 12.3 -- Categorical Variables
- Day 13.1 -- Pipelines
- Day 13.2 -- Cross-Validation
- Day 14.1 -- XGBoost
- Day 14.2 -- Data Leakage
- Day15 -- Getting Started with 30 Days of ML Competition