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This project analyzes data science salary trends using a Kaggle dataset. By examining factors like job titles, experience levels, and geographic regions, we provide insights to help job seekers and professionals understand salary patterns in the data science field.
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics and plot visualizations from Phase 1 of Mahdavi & Siegel (2020) (Aerosol Science & Technology) Project Miestone: 2017 - 2020 Full-length article: https://www.tandfonline.com/doi/full/10.1080/02786826.2020.1774492
This script creates a ML model, utilizing an XGBoost classifier, to predict the likelihood of an individual developing cervical cancer. The script asks the user for their age, smoking status, age of first sexual intercourse, number of pregancies, and IUD status and then predicts their risk of cervical cancer based on the model output.
We will analyze videos data to get insights of YouTube trending videos, to see what is common between these videos. Those insights might also be used by people who want to increase popularity of their videos on YouTube.