Topic:
Vivian will go over the main categories of all the popular algorithms and introduce a few user cases of 3 mostly voted methods.
The options are:
Regression: linear_model.LinearRegression, linear_model.Ridge, linear_model.Lasso, linear_model.ElasticNet
Classification(Discriminant Analysis): lda.LDA qda.QDA
Classification(Tree based model): tree.DecisionTreeClassifier ensemble.RandomForestClassifier
Classification(the others): linear_model.LogisticRegression svm.SVC
Classification(Nearest Neighbors) :neighbors.KNeighborsClassifier neighbors.RadiusNeighborsClassifier
Classification(Naive Bayes): naive_bayes.GaussianNB naive_bayes.MultinomialNB naive_bayes.BernoulliNB
Unsupervised Learning: decomposition.PCA cluster.KMeans cluster.AgglomerativeClustering
Feature Selection: feature_selection.VarianceThreshold feature_selection.SelectKBest feature_selection.SelectPercentile
Cross-Validation: cross_validation.KFold cross_validation.StratifiedKFold cross_validation.cross_val_score cross_validation.train_test_split
Model Selection: linear_model.RidgeCV linear_model.LassoCV linear_model.ElasticNetCV grid_search.GridSearchCV
Desktop Recording:
[youtube]http://youtu.be/hNwUq0Z70Zk[/youtube]