GitHub - daresnick/MachineLearningNotebooks

Name		Name	Last commit message	Last commit date
Latest commit History 62 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 and Images.ipynb		04. Dimension Reduction and Images.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. Tensorflow Wide and Deep.ipynb		10. Tensorflow Wide and Deep.ipynb
11. Convolutional Neural Networks.ipynb		11. Convolutional Neural Networks.ipynb
12. More Advanced CNN Techniques.ipynb		12. More Advanced CNN Techniques.ipynb
13. RNN Basics.ipynb		13. RNN Basics.ipynb