As a data scientist, you’re always looking for ways to improve the accuracy and efficiency of your models. With the advent of large language models like ChatGPT, you now have access to a powerful tool that can help you accomplish just that. ChatGPT is a state-of-the-art language model that isRead More →
Today’s article is the solid proof that networking on conferences is really worth it. Joining InfoShare for the second time (you can read more about 2021 edition in my article from last year), I’ve decided to get out of my usual comfort zone a little and talk to as manyRead More →
One of my main tasks of 2022 was to develop safe and open environment for Citizen Data Scientists to grow in my current workplace. For those who are not familiar with the concept, according to the most popular definition by Gartner, Citizen Data Scientist is a person who creates orRead More →
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 →
Over the seven jewelled hills beyond the seventh fall, in the cottage of the seven dwarfs dwells the first programmer, and does her coding on a paper… Taking it seriously, before IDEs were introduced, programmers used text editors such as Notepad to write code. To save their progresss, they stored that code usingRead More →
Long time, no see – definitely! I need to admit that I feel a little bit ashamed of my last activity here. Almost half of a year with neither blog post nor Instagram one. I was far more proud of myself in the previous year, but you know what? IRead More →
If you have ever tried to Google something like “What skills are necessary for a career in data science?”, you have probably been presented an extensive list of skills like statistics, mathematics, software development, machine learning, deep learning and many more. Each of those areas are disciplines in itself whichRead 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 →