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Analyzing Questionable F1 Abu Dhabi 2021 Finale

The F1 Finale 2021 was surely one of the most discussable and questionable events of the year and in the F1 history. Eventhough the event is quite some time ago, but with the distance and neutrality I want to analyze the data on this finale of an overall spetacular season. There is no doubt, that…

Using Big Data Technologies to improve own Gaming

Esports is arising more and more and the desire to become a better gamer obsesses many of the engaged players outside. But taking it to the next level is not that easy and requires many hours of “work”. As data are already being used to achieve performance improvements in the “real world”, why should gaming…

F1 Round #2 in Imola – An Analysis

Overall Race Analysis The race in Imola was a spectacular event with lots of tension and quite a number of incidents. While the race winner Max Verstappen drove almost without any error in the difficult conditions, the closest competitors like Lewis Hamilton, Vatteri Bottas and Sergio Perez all made mistakes throughout the race. The following…

Which of the F1 Teams has improved the most over winter?

The first race of the 2021 Formula 1 season was very exciting and had some incredible stories in it. Starting with Perez who went from last to fifth in an impressive comeback! Even though Mercedes won the Grand Prix and many people might say it was foreseeable, the weekend also revealed some weaknesses of the…

5 Steps to a simple CI/CD Pipeline using GitLab, Docker and AWS

Automation is one of the biggest levers IT brings naturally with it. Really starting to make use of its advantages is another chapter and today I would like to go through the process of how to build a really simple CI/CD Pipeline using popular tools like GitLab, Docker and Amazon Web Services. Above a rough…

Predict Heart Failure with Logistic Regression

What causes heart failures and how to predict them? This questions can be answered using this dataset on Kaggle and apply explanatory statistics as well as machine learning algorithms. Starting the analysis by explaining the dataset: The dataset contains 299 observations with 13 variables. Target variable is DEATH_EVENT and is to be predicted. Let’s take…

Predict Wine Quality

I found this peace of data on Kaggle and tried to construct a representative model to predict the quality of wine. The dataset contains roughly 1600 observations and rates the quality of wine between 3 and 8. The variables are: # Column Non-Null Count Dtype — —— ————– —– 0 fixed acidity 1599 non-null float64…

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