This is the repository for Personal Data Science Practices.
A prediction project from Google Certificate for Advanced Data Analyst.
The purpose of this model is to find factors that drive user churn.
The goal of this model is to predict whether or not a Waze user is retained or churned.
Models covered:
- Random Forest
- XGBoost
The prediction used Grid Search to decide adequate parameters, and k-fold cross validation for model selection.
A prediction project from Google Certificate for Advanced Data Analyst.
The goals for this project are to analyze the data collected by the HR department and to build a model that predicts whether or not an employee will leave the company.
Models covered:
- Decision Tree
- Random Forest
- XGBoost
The prediction used Grid Search to decide adequate parameters, and k-fold cross validation for model selection.