code_snippets

daily-reviews

This is a repo were all daily reviews should go up

datasciencecoursera

course repo for mooc data science

datasharing

The Leek group guide to data sharing

daxrendite

App for illustration of yields of regular investment in German DAX

deleteme

dlaicourse

Notebooks for learning deep learning

docs

TensorFlow documentation

dullibri

hauspreis

if_license_plates_could_talk

German license plates' geographical information is used to link them to income and crime.

immo-bee-docker

A docker image to run python package immo-bee from.

immo24calulator

immo_bee

Scrape housing data from German housing portal Immowelt.de and retrieve as comma separted file.

introduction-to-time-series-forecasting-python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

notebook

Jupyter Interactive Notebook

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

party_talk

practice-sql-with-sqlite-and-jupyter-notebook

Practice basic SQL syntax with Jupyter notebook. SQL is particularly useful in handling structured data where there are relations between different entities/variables of the data. SQL is a very important tool for data scientists to have in their repertoire.

practicinggit

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

project_data_analysis

This project is centered around exploratory data analysis (EDA) techniques and statistical analysis, as well as modeling data using linear regression.

pump_sensor

Predicting really rare positives - a notebook on the pump_sensor data from kaggle. Including both simple indicator based approaches as well as machine learning.

pycon_time_series

PyCon 2017 tutorial on time series analysis

python-slack-sdk

Slack Developer Kit for Python

r-code

student-early-warning

Using machine learning to predict high school dropouts

test

titanic

The classical data science intro with Kaggle's titanic data set is used to illustrate a simple but entire data science life-cycle including model optimization, train-test-split, eda and cleaning.

understanding_afd_electoral_success

A data set and an AI analysis of the electoral success of Germany's right wing party AfD including a Random Forest based machine learning approach.