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How to handle imbalanced data? Example in R.

2021-09-02
By: Sandra
On: 02/09/2021
In: Data Science, Notebooks, R
With: 0 Comments

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 →

Searching for the best model in a more efficient way with Sci-Kit Learn Pipelines

2021-07-16
By: Sandra
On: 16/07/2021
In: Notebooks, Python
With: 0 Comments

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 →

Exploratory Data Analysis and Machine Learning algorithms in Python with Iris data

2021-01-20
By: Sandra Radgowska
On: 20/01/2021
In: Notebooks, Python
With: 0 Comments

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 →

Behavioral Customer Segmentation using RFM model

2020-11-02
By: Sandra Radgowska
On: 02/11/2020
In: Notebooks, R
With: 1 Comment

One of the things I enjoy most in my job is finishing the day with this thrilling feeling that I have learnt something new. It’s quite funny for me now as saying that I have experienced it during university lectures would be a big overstatement… 😉 It’s so beautiful toRead 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

  • When is it worth for you team to build MLOps tool from scratch? Interview with Jakub Czakon, Chief Marketing Officer and Data Scientist from Neptune.ai.
  • 31 Days of Coding – spring challenge for R/Python programming skills improvement.
  • Seeking for the right career path according to your talents with joint forces of data science and CliftonStrengths assessment.
  • How Deep Learning can be used for social good? Interview with Karol Majek, the expert in the field of mobile robotics, self-driving cars and computer vision.
  • Using Azure Databricks MLFlow to track ML experiments.

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