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..
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.ipynb_checkpoints
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figs
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images
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A0. Before You Begin.ipynb
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A1. Linear Regression - Overview.ipynb
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A2. Linear Regression - Data Exploration - Lending Club.ipynb
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A3. Linear Regression - Analysis.ipynb
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B1. Logistic Regression - Overview.ipynb
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B1a. Odds, LogOdds and Logit Function .ipynb
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B2. Logistic Regression - Data Exploration.ipynb
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B3. Logistic Regression - Analysis.ipynb
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C1. Random Forests - Overview.ipynb
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C2. Random Forests - Data Exploration.ipynb
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C3. Random Forests - Analysis.ipynb
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D1. K-Means Clustering - Overview.ipynb
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D2. K-Means Clustering - Data Exploration.ipynb
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D3. K-Means Clustering Analysis.ipynb
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WA1. Linear Regression Overview Worksheet.ipynb
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WA2. Linear Regression - Data Exploration - Lending Club Worksheet.ipynb
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WA3. Linear Regression - Analysis Worksheet.ipynb
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WA4. Linear Regression - Data Cleanup.ipynb
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WB3. Logistic Regression - Analysis- Worksheet.ipynb
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WC3. Random Forests - Analysis - Worksheet.ipynb
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WC4. Random Forests - Data Cleanup.ipynb
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WD2. K-Means Clustering - Data Exploration-Worksheet.ipynb
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WD3. K-Means Clustering Analysis - Worksheet.ipynb
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Z0. A quick tour of the IPython notebook.ipynb
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Z1. Appendix 1 Plotting code snippets .ipynb
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NotebookIndex.md
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kmeans.py
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kmeans.pyc
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linreg.py
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linreg.pyc
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logreg.py
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logreg.pyc
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mknbindex.py
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oo.png
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randomforests.py
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randomforests.pyc
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