python-advanced-rm Goto Github PK
Type: Organization
Type: Organization
100 Days of ML Coding
Source Code for 'Advanced Applied Deep Learning' by Umberto Michelucci
Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
Source Code for 'Advanced Python Development' by Matthew Wilkes
Source Code for 'Applied Deep Learning' by Umberto Michelucci
Source Code for 'Applied Reinforcement Learning with Python' by Taweh Beysolow
Solutions for Automate the Boring Stuff with Python
Source code for 'Beginning Spring Boot 2' by K. Siva Prasad Reddy
Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari
Source code for 'Beginning Python' by Magnus Lie Hetland
Source Code for 'Data Analysis and Visualization Using Python' by Dr. Ossama Embarak
Source Code for 'Data Analytics of Stock Price Movements with Python' (video) by Matthew Macarty
Source code for ' Data Science Fundamentals for Python and MongoDB' by David Paper
Source Code for 'Deep Learning with Applications Using Python' by Navin Kumar Manaswi
Source Code for 'Deep Learning for Natural Language Processing' by Palash Goyal, Sumit Pandey and Karan Jain
Source Code for 'Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow' by Hisham El-Amir and Mahmoud Hamdy
Source code for 'Deep Learning with Python' by Nikhil Ketkar
Source Code for 'Deep Neuro-Fuzzy Systems with Python' by Himanshu Singh and Yunis Ahmad Lone
Source Code for 'Forensic Accounting Techniques with R' (video) by Kevin Feasel
Source code for 'Hands-on Scikit-Learn for Machine Learning Applications' by David Paper
Source Code for 'Industrial Machine Learning' by Andreas François Vermeulen
Source Code for 'Introduction to Convolutional Neural Networks' by Nemanja Milosevic
Source code for 'Introduction to Python for Engineers and Scientists' by Sandeep Nagar
Source code for 'Learn Data Analysis with Python; by A.J. Henley and Dave Wolf
Source Code for 'Learn Keras for Deep Neural Networks' by Jojo John Moolayil
Source Code for 'Learn PySpark' by Pramod Singh
Source Code for 'Learn TensorFlow 2.0' by Pramod Singh and Avinash Manure
Source Code for 'Machine Learning Applications Using Python' by Puneet Mathur
Source code for 'Machine Learning Using R' by Karthik Ramasubramanian and Abhishek Singh
Source Code for 'Machine Learning with PySpark' by Pramod Singh
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.