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..
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datasets
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figures
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images
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solutions
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01.Introduction_to_Machine_Learning.ipynb
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02.Scientific_Computing_Tools_in_Python.ipynb
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03.Data_Representation_for_Machine_Learning.ipynb
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04.Training_and_Testing_Data.ipynb
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05.Supervised_Learning-Classification.ipynb
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06.Supervised_Learning-Regression.ipynb
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07.Unsupervised_Learning-Transformations_and_Dimensionality_Reduction.ipynb
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08.Unsupervised_Learning-Clustering.ipynb
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09.Review_of_Scikit-learn_API.ipynb
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10.Case_Study-Titanic_Survival.ipynb
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11.Text_Feature_Extraction.ipynb
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12.Case_Study-SMS_Spam_Detection.ipynb
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13.Cross_Validation.ipynb
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14.Model_Complexity_and_GridSearchCV.ipynb
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15.Pipelining_Estimators.ipynb
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16.Performance_metrics_and_Model_Evaluation.ipynb
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17.In_Depth-Linear_Models.ipynb
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18.In_Depth-Trees_and_Forests.ipynb
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19.Feature_Selection.ipynb
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20.Unsupervised_learning-Hierarchical_and_density-based_clustering_algorithms.ipynb
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21.Unsupervised_learning-Non-linear_dimensionality_reduction.ipynb
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22.Unsupervised_learning-anomaly_detection.ipynb
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23.Out-of-core_Learning_Large_Scale_Text_Classification.ipynb
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helpers.py
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