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Name: Miriam Chou
Type: User
Company: University of Auckland
Bio: MSc in Statistics, enthusiastic in data science and statistical programming.
Location: Auckland, New Zealand
Name: Miriam Chou
Type: User
Company: University of Auckland
Bio: MSc in Statistics, enthusiastic in data science and statistical programming.
Location: Auckland, New Zealand
Prediction of purchase rate in direct marketing campaign.
Combing the resources from common sense media and Guternbern Corpus to create classifiers that can help identify children suitable reading material.
The Wisdom and/or Madness of the Crowds
Small pieces of data science projects in R
Where is Taiwan? What are the cities of Taiwan? Where am I at the co-ordinates of (120.9682 , 23.74749)? Come in to check out the break down analysis of the geography of Taiwan!
git testing
Image extraction: Spotting Willy out? Now the computer can do the task for us!
On kaggle competition: Google Analytics Customer Revenue Prediction
Demonstration of building predictive models--Decision Tree, Random Forest, SVM (linear, polynomial, radial) and KNN--with the famous kaggle dataset Titanic.
Some semi-serious stats work: Implementation of dpqr-functions of the Zipf-like distribution derived by Mandelbrot (1961).
NTU Hung-Yi Lee ML 2017 Spring
A framework for building bot brains.
A step-by-step tutorial on building BBC News classifiers! With the use of the text-mining (tm) R package and another few for the KNN and SVM model.
Text sentiment analysis on Lincoln's letters.
Predict what a customer will buy next based on purchase history using automated feature engineering
A quick run of Tiny Yolo on photos with R package 'image.darknet'.
A collection of tips/commonly asked statistical questions for data science R projects.
A brief explanations of the dpqr functions in R.
It's not about the models we are to use, the parameters to tune, nor the accuracy or the area under the ROC curve to optimise -- but: what questions can we ask, so our data becomes insanely useful?
A comparisons between three Zipf's distributions on 31075 English texts using maximum likelihood estimation and the Kolmogorov-Smirnov test.
Acidity, sugar, pH value... are we able to predict the quality of this bottle before opening it? This repo contains different predictive methods (with my explanations) of red wind ratings.
Dr. Semmelweis and the discovery of handwashing This repository aims to provide a reference of work (and as a practice of writing markdown files!) on the project Dr. Semmelweis and the discovery of handwashing to other users of DataCamp.
Summaries of 60 emerging startups.
Wine market analysis in Taiwan among consumers, importers and selling agents.
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.