GithubHelp home page GithubHelp logo

intro_machinelearning's Introduction

Intro_MachineLearning

Slides and Notebooks based on a series of Lectures I gave in 2016 at AIMS Senegal titled "Introduction to Big Data and Machine Learning." It is a gentle introduction to the world of machine learning focusing first on simple classification to move to more advanced topics trying to cover essential knwoledge in the field.

I am considering this as a long term project getting better with time... If it looks a bit short at the moment it's normal, the folder will be updated regularly (hopefully) to cover several basic concepts and algorithms of the Machine Learning field. Most lecture have a corresponding jupyter notebook (Python3) illustrating the contents.

Requirements

If you want to fully enjoy the notebooks make sure all requirements are installed by running :

pip3 install -r requirements.txt

By the Way :

Comments, critics and feedback are more than welcome!!!

intro_machinelearning's People

Contributors

pylablanche 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.