1
Use Linear Regression To Estimate Continuous Values with Python and Scikit-learn
5m 47s
2
Predict Categories in Python using Scikit-learn's Logistic Regression module
4m 49s
3
Use Support Vector Machines To Find Complex Decision Boundaries with Scikit-learn
3m 23s
4
Use K-nearest Neighbors To Find Similar Datapoints with Python and Scikit-learn
4m 37s
5
Implement a Naive Bayes Classifier in Python and Scikit-learn to Categorize Text
5m 32s
6
Implement Decision Trees in Python with Scikit-learn
5m 38s
7
Find Clusters of Data with K-means Clustering in Python and Scikit-learn
4m 12s

Implement Decision Trees in Python with Scikit-learn

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We’ll learn about decision trees, also known as CART (classification and regression trees), and use them to explore a dataset of breast cancer tumors.

We'll also see how to visualize a decision tree using graphviz.

Course

Introductory Machine Learning Algorithms in Python with scikit-learn

David Arias

~ 6 years ago

I'm not able to import 'graphviz' to my jupyter notebook. I'm getting an error message that the module "graphviz" doesn't exist.

I've tried the following: import graphviz from graphviz import Digraph from graphviz import * import pygraphviz

all have come up moot.

I checked the graphviz docs and it is supposed to be compatible with jupyter notebook, and they use the same import command you do. Any ideas?

Shawn Wang

~ 6 years ago

did you install graphviz at all? brew install graphviz