juanjoneri / Learning-Machine-Learning

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

Learning-Machine-Learning

Based on Standford's CS231n

And also Andrew's Ng "Machine Learning by Stanford University"

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