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Name: Anh Nguyen from Lancaster
Type: User
Bio: Economist
Name: Anh Nguyen from Lancaster
Type: User
Bio: Economist
Course materials for statistical computing course in BUAA SEM
An Introduction to Shiny and R Markdown for Research & Drug Development - STATISTICAL COMPUTING 2018
Feng Li's Course Materials for Statistical Computing
Solutions for selected exercises from the book "Statistical Computing with R" by Maria L. Rizzo
Statistical Inference Course Book
Introductory Statistical Inference
Introductory statistics textbook based on a modeling perspective
Stanford OpenX: Introduction to Statistical Learning
This repo is what I've learned in STAT432 at University of Illinois at Urbana Champaign
Homework assignments for Math 607 Statistical Learning, University of Oregon, Winter 2022
This folder contains detailed code implementation of excercises from An Introduction to Statistical Learning with R
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
This GitHub site contains the course materials for Statistical Machine Learning that I taught at Colorado State University Spring 2014. Though it is an unstructured repository, my hope is that it will be useful to researchers, students, or professors in some capacity. Please do not use the materials for commercial purposes.
This is the Github repo for the field of Statistical Machine Learning. I set this up as my personal blog for future generations and for anybody who is interested. Please feel free to contact me on LinkedIn if you have questions.
NWI-IMC056
STAT GR5241 Statistical Machine Learning taught by Professor Linxi Liu. Here I also include some other sources of machine learning materials/practice, as well as implementation of popular machine learning algorithms by myself without using ml packages. FOR COLUMBIA STATS STUDENTS WHO TAKE THIS COURSE: DO NOT COPY SINCE HOMEWORK PROBLEMS MIGHT BE THE SAME.
Statistical Methods & Applied Mathematics in Data Science, Published by Packt
This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.
Repository for code shared be presenters in the EFI hosted Statistical Methods Seminar Series
Development and Errata for the book
Basic statistical modelling examples.
Statistical Models and Methods for Financial Data
Materials assembled while teaching from Statistical Rethinking by R McElreath
An interactive online reading of McElreath's Statistical Rethinking
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.