Day 4 - Booleans and Conditionals (Python Lesson 3)

Data Cleaning with Microsoft Excel & Data Visualisation with Microsoft Power BI

Day 14 - XGBoost & Data Leakage (Intermediate ML Lessons 6 & 7)

Day 13 - Pipelines & Cross-Validation (Intermediate ML Lessons 4 & 5)

Day 12 - Introduction, Missing Values & Categorical Variables (Intermediate ML Lessons 1, 2 & 3)

Day 11 - Machine Learning Competitions (Intro to ML Lesson 7)

Day 10 - Underfitting and Overfitting & Random Forests (Intro to ML Lessons 5 & 6)

Day 9 - Your First Machine Learning Model & Model Validation (Intro to ML Lessons 3 & 4)

Day 8 - How Models Work & Basic Data Exploration (Intro to ML Lessons 1 & 2)

Day 7 - Working with External Libraries (Python Lesson 7)

Day 6 - Strings and Dictionaries (Python Lesson 6)

Day 5 - Lists & Loops and List Comprehensions (Python Lessons 4 & 5)

Day 4 - Booleans and Conditionals (Python Lesson 3)