sumantabasak Goto Github PK
Type: User
Type: User
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
Improve your CV using Artificial Intelligence
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
Applied Machine Learning Explainability Techniques, published by Packt
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
A curated list of references for MLOps
This repository holds slides and code for a full Bayesian statistics graduate course.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
This is the repo for Linear Regression bike sharing data
Repository containing notebooks of my posts on Medium
This is an example which shows how to use h2o for classification models
Classy Ensemble: A Novel Ensemble Algorithm for Classification
Compendium of free ML reading resources
Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
This repository contains all the Cheat Sheet for Data Science,Python Libraries and Git.
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
For extensive instructor led learning
Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI
Data science interview questions and answers
This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.
Collection of data science projects in Python
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
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.