Skip to content

erdogan-deniz/ml-algorithms

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 

Repository files navigation

ML Algorithms

Implementations of classical machine learning algorithms written with Pandas and NumPy

Classes:

  • LinearRegression—a class for working with a machine learning model—linear regression;
  • LogisticRegression-a class for working with a machine learning model—logistic regression;
  • ...

Classes description:

  • LinearRegression: model training, forecasting using a model, choosing a loss function (mse), choosing a metric (mae, rmse, r2, mape, mse), using regularization (l1, l2, elasticnet), choosing the learning rate (function, int), sgd (``), choice random_state;
  • LogisticRegression: ...

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages