Archive

2017

November

• November 2, 2017 » Explore Predictive Maintenance with flexdashboard

September

• September 28, 2017 » Blockchain & distributed ML - my report from the data2day conference
• September 20, 2017 » From Biology to Industry. A Blogger’s Journey to Data Science.
• September 19, 2017 » Why I use R for Data Science - An Ode to R
• September 14, 2017 » Moving my blog to blogdown
• September 6, 2017 » Data Science for Fraud Detection
• September 4, 2017 » Migrating from GitHub to GitLab with RStudio (Tutorial)

July

• July 28, 2017 » Social Network Analysis and Topic Modeling of codecentric’s Twitter friends and followers
• July 17, 2017 » How to do Optical Character Recognition (OCR) of non-English documents in R using Tesseract?

June

• June 28, 2017 » Characterizing Twitter followers with tidytext
• June 13, 2017 » Data Science for Business - Time Series Forecasting Part 3: Forecasting with Facebook's Prophet
• June 9, 2017 » Data Science for Business - Time Series Forecasting Part 2: Forecasting with timekit

May

• May 28, 2017 » Data Science for Business - Time Series Forecasting Part 1: EDA & Data Preparation
• May 20, 2017 » New R Users group in Münster!
• May 15, 2017 » Network analysis of Game of Thrones family ties
• May 2, 2017 » Update to autoencoders and anomaly detection with machine learning in fraud analytics
• May 1, 2017 » Autoencoders and anomaly detection with machine learning in fraud analytics

April

• April 23, 2017 » Does money buy happiness after all? Machine Learning with One Rule
• April 23, 2017 » Explaining complex machine learning models with LIME
• April 16, 2017 » Happy EasteR: Plotting hare populations in Germany
• April 9, 2017 » Data on tour: Plotting 3D maps and location tracks
• April 2, 2017 » Dealing with unbalanced data in machine learning

March

• March 31, 2017 » Building meaningful machine learning models for disease prediction
• March 16, 2017 » Plotting trees from Random Forest models with ggraph
• March 7, 2017 » Hyper-parameter Tuning with Grid Search for Deep Learning

February

• February 27, 2017 » Building deep neural nets with h2o and rsparkling that predict arrhythmia of the heart
• February 19, 2017 » Predicting food preferences with sparklyr (machine learning)
• February 12, 2017 » Conditional ggplot2 geoms in functions (QTL plots)
• February 6, 2017 » Scratching the Surface of Gender Biases

January

• January 30, 2017 » New features in World Gender Statistics app
• January 29, 2017 » Exploring World Gender Statistics with Shiny
• January 22, 2017 » R vs Python - a One-on-One Comparison
• January 15, 2017 » Feature Selection in Machine Learning (Breast Cancer Datasets)
• January 5, 2017 » Gene homology Part 3 - Visualizing Gene Ontology of Conserved Genes

2016

December

• December 30, 2016 » How to map your Google location history with R
• December 22, 2016 » Animating Plots of Beer Ingredients and Sin Taxes over Time
• December 18, 2016 » How to build a Shiny app for disease- & trait-associated locations of the human genome
• December 14, 2016 » Gene homology Part 2 - creating directed networks with igraph
• December 11, 2016 » Creating a network of human gene homology with R and D3
• December 4, 2016 » How to set up your own R blog with Github pages and Jekyll Bootstrap
• December 2, 2016 » Extreme Gradient Boosting and Preprocessing in Machine Learning - Addendum to predicting flu outcome with R

November

• November 27, 2016 » Can we predict flu deaths with Machine Learning and R?
• November 20, 2016 » Analysing the Gilmore Girls' coffee addiction with R
• November 13, 2016 » Creating a Gilmore Girls character network with R
• November 6, 2016 » Is 'Yeah' Josh and Chuck's favorite word?
• November 1, 2016 » Exploring the human genome (Part 2) - Transcripts

October

• October 23, 2016 » Exploring the human genome (Part 1) - Gene Annotations
• October 16, 2016 » USA/ Canada Roadtrip 2016

September

• September 29, 2016 » DESeq2 Course Work
• September 28, 2016 » exprAnalysis package