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How machine learning can be applied for fashion industry? Based on the Silky Coders example.

2022-12-21
By: Sandra
On: 21/12/2022
In: Conferences, Interviews
With: 0 Comments

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 →

Why is it worth to attend tech conferences? 5 top benefits on InfoShare 2021 example.

2021-10-21
By: Sandra
On: 21/10/2021
In: Conferences
With: 1 Comment

There are many situations that will never cease to surprise me. One of them are the participants of the technology conference who came there for free gadgets. Really! I thought it’s just the poor student theme who joins such events to collect his equipment for free but it really wentRead More →

12 reasons why it was worth to participate in EARL 2021.

2021-09-14
By: Sandra
On: 14/09/2021
In: Conferences, Data Science
With: 2 Comments

It’s definitely visible by the first sight that summertime has come to the end. Apart from end demos and PI planning ceremonies there has been EARL 2021 facilitated, just in the middle of this crazy period! I am really grateful that I have managed to reconcile them both and takeRead More →

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Welcome to DataScientistDiary!

I’m so glad you’re there!

My name is Sandra and I’ve created this website to share my enthusiasm about data science, machine learning and data driven reality.

I’ll do my best so that you got inspired and caught “this virus” called passion. 🙂

Recent Posts

  • Mastering Data Science with ChatGPT: 10 practical use cases of how ChatGPT can help data scientists do more with less effort.
  • How machine learning can be applied for fashion industry? Based on the Silky Coders example.
  • 5 reasons why you should take CS50 course regardless your programming skills level.
  • How to build data science apps easily? Introduction to Streamlit.
  • How to choose your best IDE for Data Science?

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