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