Kamila’s Data Analytics Portfolio
Project 1: Master Thesis Project PLACEHOLDER*
- *The project cannot be published until the thesis is defended.
- This project was undertaken with a goal of contributing to research regarding factors influencing women to join or re-join the workforce after childbirth in Poland and the Czech Republic.
- Data used in the project was obtained through the Generations and Gender Programme Institution after obtaining access through required permits.
- Algorithms Used in the project: Logistic Regression using the Statsmodels Python package, Logistic Regression with ElastiNet Regularization using the Scikit-learn Python package. Additionally, data was first imputed with the MICE method.
- The goal of this project was to create simple interactive data visualizations in R.
- Data used came from Kaggle.
- The code can be accessed here.
- The interactive web application was created using the Shiny package in R.