Get began with Machine Studying Algorithms
What you’ll be taught
Machine Studying Fundamentals with Python
apply ML algorithms to your personal issues
How some algorithms work internally (kmeans, resolution tree)
Classify information robotically
Predict costs with algorithms
Group information factors robotically
Description
Learn to use Machine Studying with Python Scikit!
This can be a getting began course for Machine Studying. In case you are new to Machine Studying, this course is for you!
We’ll train you easy methods to get began with Machine Studying together with these matters:
- What’s Machine Studying
- Mechanically classify new information
- Predict costs with regression
- Group your information robotically with clustering
English
language
Content material
Introduction
Introduction
What’s Machine Studying?
Instance Issues
Supervised Studying
First Program (Classifier)
Putting in Scikit and Numpy
Necessary Be aware
First Program (Classifier)
Lecture Notes
Train
Iris Classifier
Iris Classifier
Accuracy Rating
See a Choice Tree
Regression
Linear Regression
Lecture Notes
Regression Instance
Polynomial Regression
Clustering
Clustering
Lecture Notes
Kmeans defined
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