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pccp

pipe

predictions-on-blood-donation-in-taiwan

This project tends to find out what algorithm is best to predict blood donation by three numerical predictor variables, and if it’s necessary to cluster dataset before building models. Based on the data obtained from UCI Machine Learning Repository, support vector machine (SVM), logistic regression, random forest and artificial neural network (ANN) are employed to solve supervised classification problem. After the comparison between all models, logistic regression model is implemented in both clustering dataset and non-clustering dataset. The result shows that logistic regression performs better on solving this problem and clustering before building model is not able to enhance statistical power. More detailed conclusions and corresponding suggestions are also given.

principle-component-analysis

r-network-visualization-workshop

Static and dynamic network visualization with R - code and tutorial from Polnet 2016 workshop.

salary-negotiation-tech

Articles and posts on salary negotiation for devs/nerds/software engineers/tech people.

scipy2014_tutorial

Tutorial: Bayesian Statistical Analysis in Python

sparkpot

springboard_capstone_project_1

This repository will contain my python notebook and report for my first capstone project about Human Resources Analytics

swaggle

syracuse

tensorflow

Computation using data flow graphs for scalable machine learning

time-series-forecasting-

webinars

Code and slides for RStudio webinars