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:
http://bit.ly/lp_mlearn
This video is inspired by the wonderful Tensorflow tutorials provided here:
https://www.tensorflow.org/tutorials/...
Python Code:
https://github.com/vprusso/youtube_tu...
MPG Dataset:
https://archive.ics.uci.edu/ml/datase...
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
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