A series of text and video lessons that will teach you about
different machine learning algorithms and how they can be used in
the widely popular Python library scikit-learn. This is a hands-on
approach so you are encouraged to follow along with the code. The
topics that are touched in these videos include:
- K-Nearest-Neighbors (KNN) classifier
- Logistic Regression
- Decision Trees
- Random Forests
- Suppor Vector Machines
- Neural Networks
- etc.
More lessons are being added so this is an ongoing project.
- K-Nearest-Neighbors (KNN) classifier
- Logistic Regression
- Decision Trees
- Random Forests
- Suppor Vector Machines
- Neural Networks
- etc.
More lessons are being added so this is an ongoing project.
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Learning Machine Learning
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