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Use python Jupyter notebooks (numpy, pandas, matplotlib, etc) to implement and test simple machine learning algorithms.

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Learning-Machine-Learning

Based on Standford's CS231n

Convolutional Neural Networks for Visual Recognition

Notes Order

  • Nearest Neighbors

    • Print Number
    • Find Distance
    • Nearest Neighbors
    • Test Nearest Neighbors
    • Knearest
  • Linear Regression

    • DataPeek (Andrew's HW2 data)
    • Linear Regression wiht 2 Variables
    • 2 Variables Linear model, 3D visualization
    • Matlab 3D visualization
  • Gradient Descent

    • AbalonePeek
    • Gradient Descent
  • Logistic Regression

    • Logistic on Iris Data
    • Logistic on Titanic
  • Softmax (multinomial logistic)

    • Softmax (notMNIST, TensorFlow in action!)
  • Neural Networks

    • First NN

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Use python Jupyter notebooks (numpy, pandas, matplotlib, etc) to implement and test simple machine learning algorithms.

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