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This Repo Contain 100 Days of ML . So Please Stay Tuned for More ML Stuff
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
This repository contains 500+ Data Science Projects with step by step explanation from different sources for Learning Purposes
Advanced Deep Learning with Keras, published by Packt
This is a Deep Learning Repository where all Types of Material Related with Deep Learning will be Available here...
This is a Machine Learning Repository where all Types of Material Related with Machine Learning will be Available here..
The offical notes of Andrew Ng Machine Learning in Stanford University
Applied Natural Language Processing course code(s)
Your own API Hub to learn and master API interaction. Ideal for frontend, mobile dev and backend developers.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-
An Automated production pipeline which includes aws infrastructure provisioning using terraform and CI-CD using git-hub actions.
Coding challenges | SQL
A complete computer science study plan to become a software engineer.
Course Files for Complete Python 3 Bootcamp Course on Udemy
Video Explanation: https://www.youtube.com/watch?v=TrP481CQ5qo&t=269s
Data Science Notes collected from Various Sources
List of Computer Science courses with video lectures.
Carefully curated resource links for data science in one place
This repository contains my handwritten quick notes, descriptive notes, books and other resources for Data Science.
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data-structure-and-Algorithms with Python3 and later on will add for other languages that I learn
This repository contains all the DSA questions that I have practiced on various platforms such as leetcode and gfg with multiple approaches.
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.