Based on Standford's CS231n
And also Andrew's Ng "Machine Learning by Stanford University"
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Nearest Neighbors
- Print Number
- Find Distance
- Nearest Neighbors
- Test Nearest Neighbors
- Knearest
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Linear Regression
- DataPeek (Andrew's HW2 data)
- Linear Regression wiht 2 Variables
- 2 Variables Linear model, 3D visualization
- Matlab 3D visualization
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Gradient Descent
- AbalonePeek
- Gradient Descent
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Logistic Regression
- Logistic on Iris Data
- Logistic on Titanic
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Softmax (multinomial logistic)
- Softmax (notMNIST, TensorFlow in action!)
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Neural Networks
- First NN