Today is Day 8 of my challenge: Reviewing 1 free AI certification every day, so you don’t have to waste time with bad courses. Today I reviewed Kaggle Learn’s Intermediate Machine Learning course. My personal rating: 8.1/10 Day 8 was a big upgrade from beginner ML. Yesterday, I reviewed Kaggle’s Intro to Machine Learning, where the focus was on building basic models, understanding validation, and learning concepts like underfitting and overfitting. Today felt more real. Because this course gets into the messy parts of machine learning that actually break projects, Missing values, Categorical data, Pipelines, Cross-validation, XGBoost, Data leakage. And honestly, this is where ML starts becoming more than just “train a model and get a score.” The Good: ->Much more practical than a basic ML intro. ->Teaches how to handle missing values properly. ->Covers categorical variables, which show up in almost every real-world dataset.…