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100 Days of ML Coding
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A collection of the most important Github repos for ML, AI & Data science practitioners
A curated list of data science & AI guided projects to start building your portfolio
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of references for MLOps
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
This repository contains everything you need to become proficient in Data Structures and Algorithms
Course Files for Complete Python 3 Bootcamp Course on Udemy
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Curated list of data science interview questions and answers
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 interview questions and answers
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.
A Data Structure Algorithms Low Level Design and High Level Design collection of resources.
Collection for your Data Science Learning
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Code repository for the online course Feature Engineering for Machine Learning
Code repository for the online course Feature Selection for Machine Learning
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.