├── Chapter02 └── Ch 2 - Basic Terminology and our End-to-end Example.ipynb ├── Chapter03 └── Ch 3 - Collecting, Exploring, and Visualizing Data.ipynb ├── Chapter04 └── Ch 4 - Cleaning and Readying Data for Analysis.ipynb ├── Chapter05 └── Ch 5 - Grouping and Clustering Data.ipynb ├── Chapter06 └── Ch 6 - Prediction with Regression and Classification.ipynb ├── Chapter07 └── Ch 7 - Building a Data Processing Pipeline and Deploying.ipynb ├── LICENSE ├── README.md ├── data ├── boston.csv ├── boston.db ├── iris.csv ├── iris_missing_values.csv └── long_jump.csv ├── images ├── compare_clsuter_methods.jpg ├── compare_prediction_methods.jpg ├── hca_dendrogram.jpg ├── iris_scatter_raw_vs_lda.jpg ├── iris_scatter_raw_vs_pca.jpg ├── iris_violin_pca1-2.jpg ├── min_mix_scaler.png ├── missing_data_spreadsheet.png └── one_hot.png └── model_storage ├── dendrogram └── joblib │ └── sklearn │ └── cluster │ └── hierarchical │ └── ward_tree │ └── func_code.py └── model.pkl /Chapter02/Ch 2 - Basic Terminology and our End-to-end Example.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/Chapter02/Ch 2 - Basic Terminology and our End-to-end Example.ipynb -------------------------------------------------------------------------------- /Chapter03/Ch 3 - Collecting, Exploring, and Visualizing Data.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/Chapter03/Ch 3 - Collecting, Exploring, and Visualizing Data.ipynb -------------------------------------------------------------------------------- /Chapter04/Ch 4 - Cleaning and Readying Data for Analysis.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/Chapter04/Ch 4 - Cleaning and Readying Data for Analysis.ipynb -------------------------------------------------------------------------------- /Chapter05/Ch 5 - Grouping and Clustering Data.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/Chapter05/Ch 5 - Grouping and Clustering Data.ipynb -------------------------------------------------------------------------------- /Chapter06/Ch 6 - Prediction with Regression and Classification.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/Chapter06/Ch 6 - Prediction with Regression and Classification.ipynb -------------------------------------------------------------------------------- /Chapter07/Ch 7 - Building a Data Processing Pipeline and Deploying.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/Chapter07/Ch 7 - Building a Data Processing Pipeline and Deploying.ipynb -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/README.md -------------------------------------------------------------------------------- /data/boston.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/data/boston.csv -------------------------------------------------------------------------------- /data/boston.db: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/data/boston.db -------------------------------------------------------------------------------- /data/iris.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/data/iris.csv -------------------------------------------------------------------------------- /data/iris_missing_values.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/data/iris_missing_values.csv -------------------------------------------------------------------------------- /data/long_jump.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/data/long_jump.csv -------------------------------------------------------------------------------- /images/compare_clsuter_methods.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/images/compare_clsuter_methods.jpg -------------------------------------------------------------------------------- /images/compare_prediction_methods.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/images/compare_prediction_methods.jpg -------------------------------------------------------------------------------- /images/hca_dendrogram.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/images/hca_dendrogram.jpg -------------------------------------------------------------------------------- /images/iris_scatter_raw_vs_lda.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/images/iris_scatter_raw_vs_lda.jpg -------------------------------------------------------------------------------- /images/iris_scatter_raw_vs_pca.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/images/iris_scatter_raw_vs_pca.jpg -------------------------------------------------------------------------------- /images/iris_violin_pca1-2.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/images/iris_violin_pca1-2.jpg -------------------------------------------------------------------------------- /images/min_mix_scaler.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/images/min_mix_scaler.png -------------------------------------------------------------------------------- /images/missing_data_spreadsheet.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/images/missing_data_spreadsheet.png -------------------------------------------------------------------------------- /images/one_hot.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/images/one_hot.png -------------------------------------------------------------------------------- /model_storage/dendrogram/joblib/sklearn/cluster/hierarchical/ward_tree/func_code.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/model_storage/dendrogram/joblib/sklearn/cluster/hierarchical/ward_tree/func_code.py -------------------------------------------------------------------------------- /model_storage/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Python-Data-Mining-Quick-Start-Guide/HEAD/model_storage/model.pkl --------------------------------------------------------------------------------