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Name: Anh Nguyen from Lancaster
Type: User
Bio: Economist
Name: Anh Nguyen from Lancaster
Type: User
Bio: Economist
Machine Learning Exercises from Andrew Ng's Course
Machine Learning for Economists and Business Analysts
My solutions to the programming exercises for Andrew Ng's machine learning course on Coursera. The solutions are written in Octave.
A cache to store my Machine Learning resources
My solutions to exercises from Andrew Ng's course on Machine Learning
Learn the theory, math and code behind different machine learning algorithms and techniques.
Machine learning for beginners
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
source code
Machine Learning for Finance, published by Packt
Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"
An introductory course on machine learning in economics
This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new tools for causal inference"
Files for the book Getting Started in Machine Learning
4-hour tutorial on machine learning in R: knn, decision trees, random forest, boosting, superlearner
Files for the book ``Machine Learning for Hackers: R and Jupyter Notebooks"
List of all the lessons learned, best practices, and links from my time studying machine learning
Stanford Machine Learning course exercises implemented with scikit-learn
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
A tutorial of machine learning using R.
Repo to keep track of work done in Dr. Robert McCulloch's Graduate Machine Learning course
Curated materials for different machine learning related summer schools
A booklet on machine learning systems design with exercises
machine learning and deep learning tutorials, articles and other resources
Source code for 'Machine Learning Using R' by Karthik Ramasubramanian and Abhishek Singh
Programming assignments for Coursera's Machine Learning Course.
Python codes for common Machine Learning Algorithms
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.