Data-Science

I just started Udacity’s Intro to Self Driving Cars Nanodegree and the very first thing the instructors teach in it is Bayes’ theorem. I read about it in school, but now’s the time for me to really get into it, hence this summary note. Bayes’ theorem gives a mathematical way to correct predictions about probability of an event, and move from prior belief to something more and more probable. The intuition behind application of Bayes’ theorem in probabilistic inference can be put as follows: ...

Decision Trees are pretty cool. I started learning about DTs from Jeremy Howard’s ML course and found them fascinating. In order to gain deeper insights into DTs, I decided to build one from scratch. This notebook/blog-post is a summary of that exercise. I wanted to start blogging about DTs (and Data Science in general) once I became adept in the field, but after reading this FCC article I’ve decided to get into it early. So let’s get to it. ...