Jakob Gerstenlauer's repositories
RottenOnions
We downloaded and processed ten years of historic log data from the Tor project. Then we used boosted regression trees and generalized linear models to predict malicious exit nodes.
CompareMLLibWithR
Comparison between the implementations of the Lasso algorithm between the Spark MLib library and the R glmnet package.
DHIS2BulkDataUpload
Upload spreadsheet data to DHIS2.
awesome-official-statistics-software
An awesome list of statistical software packages useful for creating and accessing official statistics.
LinearAlgebraHandsOn
A linear algebra and machine learning in Scala hands-on based on a Databricks community cloud notebook using Breeze and Spark MLlib.
Sentiment_Analysis_on_Movie_Reviews
Sentiment Analysis with RNN
SmartphoneMobility
Predict the activity of smartphone users (walking, sitting, lying) based on high dimensional sensor data.
bankingKata
This kata will take place on Nov 23 2017 in a Scala Developers Barcelona Meetup.
DLMAI
RNN examples
GitForDataScience
Typical git work flow patterns for data science projects.
Quick-Start
Python Quick Start
smile
Statistical Machine Intelligence & Learning Engine
SmileSVM
An example of using the Smile machine learning library for support vector machine classification.
SVN_versus_RVM
We compared the predictive accuracy and sparsity of support vector machines and relevance vector machines for a range of synthetic data sets differing in signal-to-noise ratio and other measures of difficulty.
UPC-MAI-DL.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
useR2019_tutorial
Tutorial for useR2019
useR2019_tutorial-1
Keeping an exotic pet in your home! Taming Python to live in RStudio because sometimes the best language is both!
xgboost_tuning
Minimal examples for xgboost hyper-parameter tuning.
xgboostExplainer
An R package that makes xgboost models fully interpretable