Episode 6: Simple and Basic Evaluation Metrics For Regression

In this video, I talk about some simple #evaluation #metrics used in #regression problems. Specifically, I will talk about: - Mean absolute error - Mean squared error - Root mean squared error - Root mean squared logarithmic error and - R2 score I implement these in the mlframework that can be found here: https://github.com/abhishekkrthakur/mlframework If you want to be a speaker in my Talks Series, then fill out this form: https://bit.ly/AbhishekTalks If you want to be first one to know when the book is available for purchase, fill out this short form: https://bit.ly/approachingalmost Follow me on: Twitter: https://twitter.com/abhi1thakur LinkedIn: https://www.linkedin.com/in/abhi1thakur/ Kaggle: https://kaggle.com/abhishek