- Wed 20 September 2017
- DS

#### Messages taken home from "AI in Data Science presented by RecdoTech"

Some remarks and highlights from taken from a meetup I attended.

- Wed 20 September 2017
- DS

Some remarks and highlights from taken from a meetup I attended.

- Sat 02 September 2017
- Stats

Trying to give an intuitive understanding what's the difference between a biased and unbiased estimators of variance of a sample.

- Mon 28 August 2017
- HowTo

A gotcha when aggregated time series data involving hourly based counts.

- Mon 03 July 2017
- HowTo

(Original notebooks can be found in this gist) Assume you have data set as follows: ID Date Value x x x where each row contains an ID, a date (given as pd.Datetime) and a value. The objective is to count how many rows occur in each day. import pandas …

- Tue 27 June 2017
- DS

Benchmarking different ways to process two columns simultaneously.

- Thu 22 June 2017
- ML

I had to (or at least I thought I had to) implement a transformer to be used in a sklearn.pipeline.Pipeline. In a nutshell, I implemented badly the transform method. The original version can be found in this gist. In the following version I fixed it. Furthermore, I left …

- Fri 26 May 2017
- General

TL;DR The function pandas.DataFrame.values is not the inverse of pd.DataFrame(np.array). Introduction An important part of reproducible data science work, is the ability to apply the DAG on the very same dataset. Simplest option is to commit the datasets to a VCS like git. This …

- Mon 08 May 2017
- General

The 90s are back and it turns out that cross platform approach doesn't apply for MS SQL Server.

- Tue 04 April 2017
- HowTo

Docker could be a great tool when you want to try out new technologies without taking the risk of breaking your own system. I decided to use Docker when having a quick look into Visdom the new toy from Facebook. I'll outline the steps I took. Start a minimal container …

- Tue 04 April 2017
- HowTo

Recently, I started to use and get to know Docker. One of my central motivations is to utilize this technology for the creation of reproducible research/work. The first minimal working example I came up with contains a notebook which loads the data from a CSV file which is part …