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Name: Kumar
Type: User
Name: Kumar
Type: User
In this repository, I upload my Complete Machine Learning code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. I have covered both Supervised and Unsupervised Machine Learning Algorithms with Practical Implementation.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
This Repo consists of my Machine Learning projects
Natural Language Processing Tutorial for Deep Learning Researchers
Contains relevant notebooks for the hands-on NLP workshop for the Analytics India Magazine Plugin Conference -2020 Edition
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
A repository for explaining feature attributions and feature interactions in deep neural networks.
📚 A practical approach to learning and using machine learning.
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
All Algorithms implemented in Python
Code along with the course 'Spark and Python for Big Data with PySpark' on Udemy
Code examples from my toptal engineering blog article
Numerical machines in Python
Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.
Hyperparameter Optimization for Keras Models
This Repository contains all tensorflow tutorials.
Source Code for 'Text Analytics with Python,' 2nd Edition by Dipanjan Sarkar
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Curated list of libraries for a faster machine learning workflow
My Tutorial for PyData London
Code for the second edition Web Scraping with Python book by Packt Publications
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.