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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?”

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”

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