Skip to content
My journey as a Data Scientist
• THE HUMAN SIDE OF AI •
Primary Navigation Menu
Menu
  • Home
  • Table of Contents
  • Blog
    • Career tips
    • Interviews
    • Conferences
    • Notebooks
      • R
      • Python
    • Recommendations
  • About
    • Contact
    • LinkedIn

data preprocessing

How to use Spotify API and what data science opportunities can it open up?

2021-03-04
By: Sandra
On: 04/03/2021
In: Notebooks, Python
With: 1 Comment

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 →

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 →

Building robust APIs in R using plumber

2020-11-25
By: Sandra Radgowska
On: 25/11/2020
In: Notebooks, R
With: 0 Comments

I must admit that it is another intense week in Arla Foods. As we are getting closer to the end our another PI and we need to deliver the MVP of a tool I am working on in one of the projects, the pace of working is really high. EspeciallyRead More →

How to do exploratory data analysis in 10 steps in R and Python

2020-11-16
By: Sandra Radgowska
On: 16/11/2020
In: Python, R
With: 0 Comments

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 →

Looking for anything specific?

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.

Tags

AI algorithms API Big data books business career development charts classification coding conferences correlation data analytics Data Driven data preparation data preprocessing datascience Data Science data visualization dataviz EDA exploratory data analysis full stack data science graphs inspiration interview kNN leadership learning Machine Learning management mentor mentoring ML motivation plots python r R programming sentiment analysis soft skills software engineering Spotify API tips web scrapping

Archives

  • April 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
  • February 2021
  • January 2021
  • December 2020
  • November 2020
  • October 2020

Designed using Hoot Business. Powered by WordPress.

This site uses cookies: Find out more.