Data Master Yodime shows Lucky how to use his interest in football as motivation to gain experience in Data Science by collecting football matches to predict the winner of the UEFA Euro 2020 with the open source data science tool, KNIME Analytics Platform.
Sometimes people ask me on social media:
“What do I need to learn to get a data science job?”
and I have to answer them all the time:
“You have to change hobbies! Because learning is not enough.”
But let’s start from the beginning. Let me tell you the whole story.
Let’s call our interested friend: Lucky. He…
After publishing two different articles on the topic on “how to make Covid-19 projections” (see in the references below), I decided to produce this short video to summarize my experiences and give a brief insight into my methods.
My greatest concern was since the beginning of the spread in China to answer this crucial question: “When will be this pandemic over?”
When I saw the first videos on Youtube with these long lines of people in front of the hospitals in China, I was asking myself: is this true? Are we in a real danger?
So, I started to…
Decomposition of growth into S-shaped logistic components also known as Loglet-analysis is a better predictor for the covid-19 spread, as it takes into account the evolution of multiple waves.
In the last article, we showed how to make a forecast for the next 30 days using covid data from the Johns Hopkins Institute with KNIME, Jupyter, and Tableau. The projections were optimized for a logistic growth model. We will show that the decomposition of growth into S-shaped logistic components also known as Loglet analysis, is more accurate as it takes into account the evolution of multiple covid waves.
While the USA is already in the midst of the third covid19 wave, Austria has just declared the second lockdown.
Data Scientist and Head of Report & Data-Management in a big Telco in Switzerland