_   .-')            _   .-')                  .-')      ('-.
                          ( '.( OO )_         ( '.( OO )_               ( OO ).  _(  OO)
                           ,--.   ,--.) ,-.-') ,--.   ,--.).-'),-----. (_)---\_)(,------.
                           |   `.'   |  |  |OO)|   `.'   |( OO'  .-.  '/    _ |  |  .---'
                           |         |  |  |  \|         |/   |  | |  |\  :` `.  |  |
                           |  |'.'|  |  |  |(_/|  |'.'|  |\_) |  |\|  | '..`''.)(|  '--.
                           |  |   |  | ,|  |_.'|  |   |  |  \ |  | |  |.-._)   \ |  .--'
                           |  |   |  |(_|  |   |  |   |  |   `'  '-'  '\       / |  `---.
                           `--'   `--'  `--'   `--'   `--'     `-----'  `-----'  `------'

💬Introduction

I've written a lot about machine learning essay ML-NOTE, therefore, I want to make a summary of machine learning theories in the past through mimose project.

💖Included algorithms

• Regression models:four_leaf_clover:

  • linear regression [pdf|code|zhihu]
  • lasso regression [code]
  • ridge regression [code]
  • grey model [code]

• Classify models:rose:

  • logistic regression [pdf|code|zhihu]
  • perceptron [pdf|code|zhihu]
  • knn [code]
  • linear discriminant analysis [code]
  • naive bayes [pdf|code|zhihu]
  • svm [pdf|code|zhihu]

• Clustering models:tulip:

  • kmeans [code]

• Descending dimension methods:fallen_leaf:

  • pca [pdf|code|zhihu]