GitHub - ArunNairID/JupyterNoteBooksTF: RNN,CNN,TF,LR,Optimization

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
Flipped Assignments		Flipped Assignments
PDF_Slides		PDF_Slides
data		data
.gitignore		.gitignore
0. Python_Intro.ipynb		0. Python_Intro.ipynb
01_Numpy and Pandas Intro.ipynb		01_Numpy and Pandas Intro.ipynb
02_Document Feature Engineering.ipynb		02_Document Feature Engineering.ipynb
02a_Pandas (optional).ipynb		02a_Pandas (optional).ipynb
03. DataVisualization.ipynb		03. DataVisualization.ipynb
04. Dimension Reduction.ipynb		04. Dimension Reduction.ipynb
05. Logistic Regression.ipynb		05. Logistic Regression.ipynb
06. Optimization.ipynb		06. Optimization.ipynb
07. MLP Neural Networks.ipynb		07. MLP Neural Networks.ipynb
08_Practical_NeuralNets.ipynb		08_Practical_NeuralNets.ipynb
09_Evaluation.ipynb		09_Evaluation.ipynb
10. Grid Searching.ipynb		10. Grid Searching.ipynb
11. Explicit Out of Core Fitting.ipynb		11. Explicit Out of Core Fitting.ipynb
12a. Airline with Dask.ipynb		12a. Airline with Dask.ipynb
12b. Airline with Graphlab.ipynb		12b. Airline with Graphlab.ipynb
13. Intro to TensorFlow.ipynb		13. Intro to TensorFlow.ipynb
14. Convolutional Neural Networks.ipynb		14. Convolutional Neural Networks.ipynb
15. Intro to Recurrent Networks.ipynb		15. Intro to Recurrent Networks.ipynb
svm_gui.py		svm_gui.py
xkcd.ipynb		xkcd.ipynb