How to handle imbalanced data? Example in R.
Words do not express how much I enjoy the first interactions with the audience of my blog! Since I have launched dedicated Instagram profile, so many of you have decided to reach out, ask for various tips or propose a topic for an article. I have created this blog withRead More →
The 12 Weak Year Planning templates for Data Science. How to kick-start your career in 2021?
A few weeks ago I heard about a book “A Year of 12 Weeks” on one of the podcasts I listen to. The author of the podcast has praised how this approach changed his life. I tend to be very skeptical in similar situations especially when it comes to theRead More →
Searching for the best model in a more efficient way with Sci-Kit Learn Pipelines
It’s no secret if I say that technology has changed the way people live these days. As it becomes more and more accessible and available, this opens more opportunities to become more efficient and work smarter. Especially when it comes to various task automation. You probably use it in yourRead More →
Using Azure Databricks Dashboards
Albert Einstein has said once: “The more I learn, the more I realize how much I don’t know.” I have the impression that the longer I work for IT, the more I understand this quote. When I have started my interest within data science I thought that it’s all aboutRead More →
Linear Programming with R. Exploring lpSolve package.
We create huge volumes of data as we go about our everyday lives. Ranging from all e-mails, text messages, and social media posts we send to the photos and videos we take on our mobile phones – it’s a massive amount of information being generated constantly. Even more data isRead More →
Transitioning from Academia to Data Science. Interview with Johannes Tang Kristensen, Senior Data Scientist from Stark.
There are lots of reasons which make me thrilled about my job. First is variety – it’s impossible to be bored when you have the possibility to deep dive into so many disciplines at the same time. On Monday morning I can seek patterns into logistics data. In the afternoonRead More →
5 things I wish I knew when I started out with Data Science
To write this post I got inspired when talking with participants of the R programming workshop I run in my workplace. We are just approaching the end of the course and they are about to kickstart with own projects in their business areas. The idea of this citizen data scienceRead More →
What does it mean to be a Full Stack Data Scientist? Interview with Michael Thruesen, Head of Data Science & Engineering at IBM.
Data science has been an eye-catching field for many years now to young individuals. In 2020 for the first time since 2016, Data scientist position was not the number one job in America, according to Glassdoor’s annual ranking. While the shine may be wearing off the unicorn a bit, dataRead More →
How to use Spotify API and what data science opportunities can it open up?
Staying in an online content topic, I was really interested to start my first attempt with web scrapping. The web scraping software may directly access the World Wide Web using the Hypertext Transfer Protocol or a web browser. Accessing data to play with these days is so easy with resources like Kaggle or Google –Read More →
How to manage a data science team? Interview with Kasper Pors Hansen, former Senior Manager in Arla Foods.
How to manage a data science team? What are the skills of future in a data driven world? Learn from experience of former Arla Foods data and analytics area leader.Read More →