GithubHelp home page GithubHelp logo

nate-browne / intro-to-ml Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 17.06 MB

My Jupyter Notebooks and other things corresponding to the Introduction to Machine Learning class I took.

License: Apache License 2.0

Jupyter Notebook 99.11% Python 0.89%

intro-to-ml's Introduction

Intro to Machine Learning

This repo contains all of my notes/projects pertaining to my intro to Machine Learning course that I did over the summer of 2018. The books used were Python Machine Learning as well as Hands-On Machine Learning. There are notebooks that contain my notes and small projects.

Eventually, I'll add in markdown files containing my answers to the questions at the end of each chapter.

intro-to-ml's People

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.