Introduction to Machine Learning for Coders
Other, , Prof. Jeremy Howard
Updated On 02 Feb, 19
Other, , Prof. Jeremy Howard
Updated On 02 Feb, 19
Learn the most important machine learning models, including how to create them yourself from scratch, as well as key skills in data preparation, model validation, and building data products.
4.1 ( 11 )
In todays lesson we start by learning more about the "tree interpreter", including the use of "waterfall charts" to analyze their output.
Next up, we look into the subtle but important issue of extrapolation. This is the weak point of random forests - they cant predict values outside the range of the input data. We study ways to identify when this problem happens, and how to deal with it.
In the second half of this lesson, we start writing our very own random forest from scratch!
Sam
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
Dembe
March 29, 2019
Great course. Thank you very much.