GitHub - sea-boat/MachineLearning_Lab: Code lab for machine learning. Including Least Square Method,Gradient Descent,Newton's Method,Hierarchy Cluster,KNN,Markov,Adaboost,Random Number Generation(all kinds of distributions),N Sigma outlier detection,outlier detection based on median,FFT outlier detection,DBSCAN,Kmeans,Naive Bayes,perceptron,reinforcement learning.

Demo list

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
data		data
outliers		outliers
Adaboost.py		Adaboost.py
AgglomerativeCluster.py		AgglomerativeCluster.py
HierarchyCluster.py		HierarchyCluster.py
Markov.py		Markov.py
NaiveBayes.py		NaiveBayes.py
Newton.py		Newton.py
README.md		README.md
dbscan.py		dbscan.py
distribution.ipynb		distribution.ipynb
distribution_gen.py		distribution_gen.py
gradient_descent.py		gradient_descent.py
kmeans.py		kmeans.py
knn.py		knn.py
leastsquare1.py		leastsquare1.py
leastsquare2.py		leastsquare2.py
perceptron.py		perceptron.py
reinforcement_learning.py		reinforcement_learning.py