Performed data visualization using Tableau to track and analyze tech layoffs trends. Obtained data from Kaggle, utilized various charts to communicate insights, user-friendly interface.
-
Updated
Feb 11, 2023
Performed data visualization using Tableau to track and analyze tech layoffs trends. Obtained data from Kaggle, utilized various charts to communicate insights, user-friendly interface.
an experimental layoff tracking repo for the recent tech layoffs in the United States
Analyse Layoff Dataset from Airtable
Layoff Risk Predictor is a Machine Learning project that forecasts company layoff percentages using real world data from Layoffs.fyi. It compares multiple regression models including Linear, Ridge, Lasso, Elastic Net, KNN, Decision Tree, Random Forest, and CatBoost to identify the most accurate predictor of layoffs. The project provides a complete
Add a description, image, and links to the layofftracker topic page so that developers can more easily learn about it.
To associate your repository with the layofftracker topic, visit your repo's landing page and select "manage topics."