harisshh Goto Github PK
Name: Harish
Type: User
Name: Harish
Type: User
Build an Auto Encoder with deep neural networks, using tensorflow on top of keras
Classify the images of cats and dogs to their respective classes using CNNs.
Plot different types of viz using packages like matplotlib, seaborn
Code repository for Deep Learning with Keras published by Packt
Car Resale value Prediction
Classifying the flowers into different types using Decision Tree Algorithm
Classifying different clothes using neural network.
Recommend movies to users based on the movies they've previously watched.
Project on number plate analysis
Scrape a website to fetch data using BeautifulSoup
Classifies the mail as spam and ham using naive bayes
Solutions for the tasks assigned for the internship program
Forecasts the quantity we want to find using the trend the series depicts
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.