Hi Data Friends,
A few people have been raving about the “Machine Learning A-Z™: Hands-On Python & R In Data Science” available on Udemy:
I thought I’d check it out over the weekend, but it is a massive course. I mean we are talking 41 hours of video, so at the moment I am only 51% through it. I’ll continue to review if I have some time next weekend.
Here’s what I have covered so far:
Part 2 Regression
Simple linear regression
Multiple linear regression
Support Vector Regression
Decision Tree Regression
Random Forest Regression
Evaluating Regression Model Performance
Part 3 Classification
K-Nearest Neighbors (KNN)
Support Vector Machine
Decision Tree Classification
Random Forest Classification
Evaluating Classification Model Performance
Firstly, how am I able to get through 20 hours of videos on the weekend?
document.getElementsByTagName("video").playbackRate = x
My x is usually 3, but sometimes I go up to 4 if I am familiar with a concept. So let’s say I’m averaging about 3.2x then 20 hours of video takes about over 6 hours and 15 mins.
Should you buy this course?
So far I think it is insanely good value and yes you should definitely buy it.
I don’t get any commissions, or kickbacks or anything at all from recommending it to you, I just think it is great.
I thought the course has been great, but here are a few little things that I made a note of.
Preprocessing of datasets is such a fundamental part of data science, but doing the course you get the feeling this is a non-event. Whereas in practice it can take a great deal of time, expertise and thought to wrangle together a dataset for model development.
Stay tuned for Part 2.