Git Product home page Git Product logo

computer_vision-classification-identifying_cats_vs_dogs's Introduction

Hi there ๐Ÿ‘‹

Warm Welcome from Tejas...!

A place where you can find all the basics behind:

1. Regression Analysis:

 1.1.Linear
 
     1.1.1 Simple Linear Regression
     
     1.1.2 Multiple Linear Regression
 
 1.2 Logistic Regression
 
 1.3 Polynomial Regression
 
 1.4 Decision Tree and Random Forrest Regression
 
 1.5 Neural Network Regression

2. Classification Tasks:

 2.1 Decision Tree
 
 2.2 Random Forrest
 
 2.3 Naive Bays

3. Computer Vision:

 3.1 Image Classification
 
 3.2 Object Detection & Localization

computer_vision-classification-identifying_cats_vs_dogs's People

Contributors

tejasp12 avatar

Stargazers

 avatar

Watchers

 avatar  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.