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Unveiling Attrition Trends Through People Analytics
Intro In the realm of HR Analytics, understanding the patterns and factors influencing employee income is crucial for informed decision-making. This project dives into a detailed exploration of income within an HR dataset, employing various data science techniques and visualizations to extract valuable insights. My primary focus is the influence of employee demographics, job satisfaction,
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Optimizing Workforce Strategies through People Analytics
Intro to People Analytics People Analytics, a data-driven approach to understanding human behavior within organizations, plays a pivotal role in aiding HR professionals and decision-makers. By leveraging statistical methods and data exploration, this People Analytics project aims to uncover patterns and influential factors contributing to employee attrition. The focus is on utilizing machine learning techniques,
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Creating a Tableau Dashboard
One of the most popular tools for creating stunning data visualizations is Tableau. Tableau is a powerful data visualization tool that enables you to connect to various data sources, explore, analyze, and create interactive visualizations. I created a Tableau dashboard using the “Getting Started” training videos provided by Tableau. Note: Tableau offers a 14-day free
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Market Survey Research Analysis
I wanted to explore a survey dataset and also use a few ensemble machine learning models. I found a Kaggle dataset on market research survey which is a demographic survey that focuses on customers preferences regarding the computer brands Acer and Sony. The demographics included salary, age, education, car model, zipcode, and credit. Note: there is a
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More Spotipy with Oliver Heldens & Hi-Lo
I had such a great time creating the last spotipy project with Eric Prydz and his Pryda alias that I decided to improve on that project with another DJ and alias. My next focus is Oliver Heldens and his darker techno persona Hi-Lo. Since Hi-Lo has been becoming more popular, I was curious to see
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Learning to use Spotify API and .env files
On this project I wanted to learn how to pull data from Spotify. I love Spotify Wrapped and want to eventually code something of that level of sophistication. For now I decided to start with something basic and compare the top tracks of Eric Prydz and his alias Pryda. Using the Spotify API was easy