Index of /MachineLearningNotebooks/
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Flipped Assignments/ 03-Apr-2024 16:45 -
PDF_Slides/ 03-Apr-2024 16:45 -
data/ 03-Apr-2024 16:45 -
0. Python_Intro (optional).ipynb 03-Apr-2024 16:45 65112
01_Numpy and Pandas Intro.ipynb 03-Apr-2024 16:45 60767
02_Document Feature Engineering (optional).ipynb 03-Apr-2024 16:45 548450
02a_Pandas (optional).ipynb 03-Apr-2024 16:45 81115
03. DataVisualization.ipynb 03-Apr-2024 16:45 8597105
04. Dimension Reduction and Images.ipynb 03-Apr-2024 16:45 12886754
05. Logistic Regression.ipynb 03-Apr-2024 16:45 3775826
06. Optimization.ipynb 03-Apr-2024 16:45 139567
07. MLP Neural Networks.ipynb 03-Apr-2024 16:45 234959
07a. MLP Neural Networks with Bias.ipynb 03-Apr-2024 16:45 319181
08. Practical_NeuralNets.ipynb 03-Apr-2024 16:45 177907
08a. Practical_NeuralNets with Bias.ipynb 03-Apr-2024 16:45 228900
09. Evaluation.ipynb 03-Apr-2024 16:45 132960
10. Keras Wide and Deep.ipynb 03-Apr-2024 16:45 65406
10a. Keras Wide and Deep as TFData.ipynb 03-Apr-2024 16:45 2143815
11. Convolutional Neural Networks.ipynb 03-Apr-2024 16:45 801618
12. More Advanced CNN Techniques.ipynb 03-Apr-2024 16:45 830637
12a. More Advanced CNN Techniques as TFData.ipynb 03-Apr-2024 16:45 1664488
13. RNN Basics.ipynb 03-Apr-2024 16:45 229546
13a. Sequence Basics [experimental].ipynb 03-Apr-2024 16:45 586512
14. ConceptNet.ipynb 03-Apr-2024 16:45 164391
Apple M1 and M2 Install.ipynb 03-Apr-2024 16:45 4192
README.md 03-Apr-2024 16:45 896
model.png 03-Apr-2024 16:45 10977