Sierkinhane / Cs229 Ml Implementation
Implementation of cs229(Machine Learning taught by Andrew Ng) in python.
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[2019-11-23] Update: Add Conditional Generative Adversarial Nets on MNIST in 01-UnsupervisedLerning
[2019-11-7] Update: Add Generative Adversarial Nets on MNIST in 01-UnsupervisedLerning
[2019-11-5] Update: Add 99.76% accuracy mnist model
CS229-ML-Implements(CS229机器学习算法的Python实现)
Implements of cs229(Machine Learning taught by Andrew Ng) in python.
I must pay all my attention to my papers, therefore the repository won't update soon.
CS229 Machine Learning Xmind:
CS229 Machine Learning course and notes:
Syllabus：
-
Naive Bayes spam-filter
Examples
Linear Regression
Locally Weighted Regression
Logistic Regression
Softmax Regression
Gaussian Discriminant Analysis
Naive Bayes spam-filter
TO BE CONTINUED
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