Coder Social home page Coder Social logo

stivenramireza / machine-learning-models Goto Github PK

View Code? Open in Web Editor NEW
1.0 1.0 0.0 292 KB

Regression, classification, clustering and recommender systems models.

License: MIT License

Jupyter Notebook 100.00%
cognitive-class-course regression-models classification-models clustering-models recommender-systems

machine-learning-models's Introduction

Machine Learning Models

Cognitive Class course that contains differents machine learning models to implement in Python.

1. Regression

  • Simple linear regression.
  • Multiple linear regression.
  • Non-linear regression.

2. Classification

  • K-Nearest neighbors.
  • Decision trees.
  • Logistic regression.
  • Support vector machines.

3. Clustering

  • K-Means clustering.
  • Hierarchical clustering.
  • Density-based clustering.

4. Recommender Systems

  • Content-based.
  • Collaborative filtering.

machine-learning-models's People

Contributors

stivenramireza avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.