Machine Learning(101)
Introduction
1.1- sklearn.naive_bayes.GaussianNB
1.2 - GaussianNB Accuracy
1.3 - time for train and test
2.1 - sklearn support vector machine
2.2 - SVM Accuracy
3.1 - sklearn decision tree
3.2 - Decision tree accuracy
4.1 - Sklearn - K - nearest neighbors
4.2 - KNN Accuracy
5.1 - sklearn.ensemble.RandomForestClassifier
5.2 - Random Forest Accuracy
6.1 - sklearn.ensemble.AdaBoostClassifier
6.2 - Adaboost Accuracy
7.1 - sklearn linear regression
7.2 - Linear regression features and visualize
7.3 - Linear regression accuracy
8.1 - Sklearn - K - means
9.1 - sklearn - MinMaxScaler (feature rescaler)
10.1 - sklearn - CountVectorizer (Bag of words)
10.2-nltk(natual language tool kit) -stopwords + snowball
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1-cocktail party problem
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cocktail party problem algorithm
[W,s,v] = svd((repmat(sum(x.*x,1),size(x,1),1).*x)*x');
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