Have you ever wanted to build a frontend for your data science project? But perhaps did not because of the extensive time needed to code the web app or intimidated by Shiny, Django or Flask? In this article, I will be showing you how you can build your first DataRead More →
Introduction Have you ever heard about the 34 CliftonStrengths Themes or Gallup Test? In short, the whole idea is about the fact that although people can learn skills, develop their knowledge and gain experiance, they can’t acquire talent. It’s innate. Each of us is unique and trying to achieve anythingRead More →
As mentioned many time, few weeks ago I have taken part in a great course. Although I have been familiar with MLOps term before, it was the first time I have applied this in practice inside Jupyter Notebook environment dedicated for the workshop. I need to admit that I stillRead More →
Last month I have taken part in a great Natural Language Processing course organized by DataWorkshop. One of the tasks we could have challenge ourselves with during the course was trying to predict the cost of the flats based on their descriptions. The dataset for the excercise has been providedRead More →
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 →
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 →
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 →
Hello in 2021! Feeling guilty that my Xmas break in writing took longer than expected but let’s be honest – taking some rest and loading batteries is so underrated these days. I am proud to have some time off as it gave me such huge amount of motivation and ideasRead More →
One of the most common dilemmas for beginners in Data Science is whether to learn Python or R. People tend to focus on the technology and tools but forgot that the key to success is understanding your data. It doesn’t matter whether you’ll choose Excel, Python, R or Julia –Read More →