End-to-end Machine Learning: Time-series analysis

Course details

Welcome!

In this course, we'll walk through every step of making your own weather predictor. We'll find weather data, explore it and get it in order. We'll use the modeling tools ofdeseasonalization and linearregression to predict temperatures at the beach. We'll use the statistical tools ofautoregression and confidence intervals to guide our feature selection and apply our results. And we'll code the whole thing up from scratchin python and organize it to be easy to read andeasy to extend.

When you're done, you'll have a standaloneweather predictorthat can estimatehigh temperatures three days from now. You'll also have hands-on experience solving a real word data science problem fromendtoend.

If you are a professor or a teacher at any level, you are welcome to evaluate the course for free, and Ican set your students up with a deep educational discount. Just contact me for the coupon code (brohrer@gmail.com).