Let’s Write a Pipeline - Machine Learning Recipes #4
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In this episode, we’ll write a basic pipeline for supervised learning with just 12 lines of code. Along the way, we'll talk about training and testing data. Then, we’ll work on our intuition for what it means to “learn” from data.
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Tags:
machine learning
machine learning recipes
supervised learning
tensorflow playground
training data
testing data
iris dataset
scikit learn
sklearn
classifiers
K nearest neighbors
knn
data model
neural network
training
testing
data
Google
developers
neural networks and deep learning
lets write a pipeline
product: web
Fullname: Josh Gordon
Location: NYC
Other: NoGreenScreen
GDS: Full Production
Type: Other
Team: Scalable Advocacy