Regression and Python in Tensorflow: Part 2

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:

This video is inspired by the wonderful Tensorflow tutorials provided here:

Python Code:

MPG Dataset:

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:

== Support and Subscribe==
If I've helped you, feel free to buy me a beer :)

If you've found this video helpful and want to stay up-to-date with the latest videos posted on this channel, please subscribe:

#tensorflow #pythondev #machinelearning

[shahzan]

Keep it up brother ....
Your videos make easier to learn for

[shrutikulkarni]

Cannot view the data properly html tags are showed instead!!!

[nishantbanjade]

Sir, Why you are using vim instead of Jupyter notebook? n notebook, there is good formatting. I am also learning vim but I am confused for using it as machine learning. vim is addicting. Please reply.