Machine Learning in Data Science

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Awantik Das edited this page Apr 1, 2017 · 1 revision

What-Is-Machine-Learning

Introducing-Scikit-Learn

Hyperparameters-and-Model-Validation

Feature-Engineering

Naive-Bayes

Linear-Regression

Support-Vector-Machines

Random-Forests

Manifold-Learning

K-Means

Gaussian-Mixtures

Kernel-Density-Estimation

Image-Features