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, thatContinue reading “Analyzing Questionable F1 Abu Dhabi 2021 Finale”
São Paulo Grand Prix 2021: Telemetry Data Analysis of the famous Turn 4 Battle between Verstappen and Hamilton
Last weekend, F1 was in Brazil again and had the third Sprint Qualifying session of the season. Hamilton decided to make use of a new power unit and to take a five-place grid penalty for that. He dominated the whole qualifying session on Friday afternoon and beat Max Verstappen by over 4 tenths of aContinue reading “São Paulo Grand Prix 2021: Telemetry Data Analysis of the famous Turn 4 Battle between Verstappen and Hamilton”
Does Perez deserve the RB Seat and is he performing better than Albon last Year?
Part 1 – Qualifying Check The driver for the Red Bull seat alongside Max Verstappen was heavily discussed at the end of the 2020 season. Eventually, Sergio Perez (PER) got the seat and Alex Albon (ALB) was degraded to RB F1 reserve driver and DTM AlphaTauri Driver. After 17 rounds in 2021 and right bevoreContinue reading “Does Perez deserve the RB Seat and is he performing better than Albon last Year?”
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 gamingContinue reading “Using Big Data Technologies to improve own 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 followingContinue reading “F1 Round #2 in Imola – An Analysis”
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 theContinue reading “Which of the F1 Teams has improved the most over winter?”
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 roughContinue reading “5 Steps to a simple CI/CD Pipeline using GitLab, Docker and AWS”
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 takeContinue reading “Predict Heart Failure with Logistic Regression”
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 float64Continue reading “Predict Wine Quality”
Predict Heart Disease with K-Nearest-Neighbour Classification
I recently fount this dataset on Kaggle and started a notebook to create a classification model with K-Nearest-Neighbour to be able to predict a potential heart disease based on the given inputs. You can find the final notebook here.
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