General Description: In this series of videos, we will be using the TensorFlow Python module to perform regression on the MPG (miles-per-gallon) dataset. The intent of this video series is to predict the MPG of a car given a number of attributes of the car, i.e. horsepower, number of cylinders, year of production, etc. This video is part of a series on Machine Learning in Python. The link to the playlist may be accessed here: http://bit.ly/lp_mlearn This video is inspired by the wonderful Tensorflow tutorials provided here: https://www.tensorflow.org/tutorials/keras/regression Python Code: https://github.com/vprusso/youtube_tutorials/blob/master/machine_learning/regression MPG Dataset: https://archive.ics.uci.edu/ml/datasets/auto+mpg Do you like the development environment I'm using in this video? It's a customized version of vim that's enhanced for Python development. If you want to see how I set up my vim, I have a series on this here: http://bit.ly/lp_vim ⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for 6 months and I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=lucidprogramming&utm_content=description-only == Support and Subscribe== If I've helped you, feel free to buy me a beer :) PayPal: https://www.paypal.me/VincentRusso1 If you've found this video helpful and want to stay up-to-date with the latest videos posted on this channel, please subscribe: http://bit.ly/lp_subscribe #tensorflow #pythondev #machinelearning