jakobgerstenlauer Goto Github PK

awesome-official-statistics-software

An awesome list of statistical software packages useful for creating and accessing official statistics.

bankingkata

This kata will take place on Nov 23 2017 in a Scala Developers Barcelona Meetup.

cloudcomputing

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.

dlmai

RNN examples

gitfordatascience

Typical git work flow patterns for data science projects.

linearalgebrahandson

A linear algebra and machine learning in Scala hands-on based on a Databricks community cloud notebook using Breeze and Spark MLlib.

quick-start

Python Quick Start

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.

scalasvm

This is a Scala implementation of kernelized support vector machines for binary classification based on a stochastic gradient descent algorithm.

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.

smile

Statistical Machine Intelligence & Learning Engine

smilesvm

An example of using the Smile machine learning library for support vector machine classification.

spark

Mirror of Apache Spark

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