mijchou Goto Github PK

bank-direct-marketing

Prediction of purchase rate in direct marketing campaign.

children_reading_analysis

Combing the resources from common sense media and Guternbern Corpus to create classifiers that can help identify children suitable reading material.

crowds

The Wisdom and/or Madness of the Crowds

datascienceprojects

Small pieces of data science projects in R

feature-engineering-notes

flight-delay-prediction

gis--geotaiwan

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!

hello-world

git testing

hung-yi-lee2017spring

imageproc--whereswilly

Image extraction: Spotting Willy out? Now the computer can do the task for us!

kaggle---gstorerevenue

On kaggle competition: Google Analytics Customer Revenue Prediction

kaggle--homecreditdefault

kaggle--titanic

Demonstration of building predictive models--Decision Tree, Random Forest, SVM (linear, polynomial, radial) and KNN--with the famous kaggle dataset Titanic.

mandelbrot-distribution-function

Some semi-serious stats work: Implementation of dpqr-functions of the Zipf-like distribution derived by Mandelbrot (1961).

ml2017

NTU Hung-Yi Lee ML 2017 Spring

musiccomputation

mutters

A framework for building bot brains.

nlp--bbcnewsclassifier

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.

nlp--lincolnletters

Text sentiment analysis on Lincoln's letters.

predict-next-purchase

Predict what a customer will buy next based on purchase history using automated feature engineering

r---tinyyolo

A quick run of Tiny Yolo on photos with R package 'image.darknet'.

r--codinginterview

r--datasciencetips

A collection of tips/commonly asked statistical questions for data science R projects.

r--dpqr-functions

A brief explanations of the dpqr functions in R.

r--insightsnanalysis

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?

r--large-scale-engtext-analysis

A comparisons between three Zipf's distributions on 31075 English texts using maximum likelihood estimation and the Kolmogorov-Smirnov test.

r--red-wine-prediction

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.

r--the-discovery-of-handwashing

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.

the-insurtech-ecosystem

Summaries of 60 emerging startups.

wine-in-taiwan-market-research

Wine market analysis in Taiwan among consumers, importers and selling agents.