my practical tutorials

for more information skip to the introduction.ipynb file!

note that the foundation tutorials are on another repo

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.gitignore		.gitignore
00.Introduction.ipynb		00.Introduction.ipynb
01.SummaryStatistics.ipynb		01.SummaryStatistics.ipynb
02.Visualizations.ipynb		02.Visualizations.ipynb
03.RandomVariables.ipynb		03.RandomVariables.ipynb
04.SimulatingRandomness.ipynb		04.SimulatingRandomness.ipynb
05.DummyVariables.ipynb		05.DummyVariables.ipynb
06.Bootstrapping.ipynb		06.Bootstrapping.ipynb
07.ConfidenceIntervals&HypothesisTests.ipynb		07.ConfidenceIntervals&HypothesisTests.ipynb
08.FeatureTransformations.ipynb		08.FeatureTransformations.ipynb
09.FeatureSelection.ipynb		09.FeatureSelection.ipynb
10.KNN.ipynb		10.KNN.ipynb
11.ValidationSet.ipynb		11.ValidationSet.ipynb
12.ErrorMeasures.ipynb		12.ErrorMeasures.ipynb
13.LinearRegression.ipynb		13.LinearRegression.ipynb
14.LogisticRegression.ipynb		14.LogisticRegression.ipynb
15.DecisionTrees.ipynb		15.DecisionTrees.ipynb
16.UnsupervisedLearning.ipynb		16.UnsupervisedLearning.ipynb
17.Regularization&GridSearch.ipynb		17.Regularization&GridSearch.ipynb
18.CrossValidation.ipynb		18.CrossValidation.ipynb
19.RandomForests.ipynb		19.RandomForests.ipynb
README.md		README.md
requirements.txt		requirements.txt

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