Timo Wagner Yet Another Data Something Blog. I am passionated about Data Science. I like to crawl the web for data and I am also keen on machine learning algorithms.

New Blog Posts on Medium

I switched to blog about data stuff and software development on Medium.

New Blog Posts on Medium feature image

R and Visualizations – The Basics of ggplot2

An introductionary for ggplot2. An overview of its structural template and some basic plot techniques with examples.

R and Visualizations – The Basics of ggplot2 feature image

R and Visualizations – Quick Plots

First part of a series about the R package ggplot2. Here you will get to know how to quickly visualize your data to get a first impression.

R and Visualizations – Quick Plots feature image

Python and Deep Learning – Building an ANN with Keras

Learn how to build a simple artificial neural network with the Keras framework of Python.

Python and Deep Learning – Building an ANN with Keras feature image

Python and Deep Learning – Keras

General Introduction to the Deep Learning API Keras.

Python and Deep Learning – Keras feature image

Python and Deep Learning – Tensorflow

General Introduction to the Deep Learning framework TensorFlow.

Python and Deep Learning – Tensorflow feature image

Python and Deep Learning – Theano

General Introduction to the Deep Learning framework Theano.

Python and Deep Learning – Theano feature image

Jupyter Notebook – Notebook as a Jekyll blog post

Convert and easily integrate your Jupyter Notebook file into a Jekyll blog post.

Jupyter Notebook – Notebook as a Jekyll blog post feature image

Jupyter Notebook – Using R

Extend Jupyter Notebook with R.

Jupyter Notebook – Using R feature image

Jupyter Notebook – Installation

How to install Jupyter Notebook with the anaconda package.

Jupyter Notebook – Installation feature image

New Project Started

This is my first blog post on my new blog. I decided to host it on GitHubs Pages. It is more convenient since I am already working with Git.

I am also proud to announce a new Data Science project I am working on as part of my master thesis. It is about analyzing the operating reserve market in the german energy market. The aim is to enhance optimization algorithms input factors by predicting the call probability of work prices of reserve calls. For more information head over to my latest GitHub project.