Learn why feature scaling is important and how to perform it using scikit learn. Also learn about the difference between the two most popular scalers.
Scikit learn: f1-weighted vs. f1-micro vs. f1-macro
Learn the difference between the three types of averages that you can get for f1 score for a multi-class classification problem: weighted, macro and micro.
Train-validation-test split – Why and How
You’ve heard of train-test split in the context of ML. But what is train-validation-test split? Why is it required, and how to implement it in sklearn? Find out
How to add custom distance metric in DBSCAN
Learn how to set the custom distance function and the metric params for that function in DBSCAN, for n-dimensional data.