A Tool for Predictive Participant Retention Analysis

Inspiration

We chose this problem to solve because participant retention in a youth development organization is key in maximizing youth development. FirstTee is a great organization for fostering successful young adults and utilizing this amazing resource would be greatly beneficial for children.

What it does

We created a machine learning algorithm to detect and predict a participant's likelihood of retaining (or not). Based on this information, we also created an algorithm to predict the number of sessions each participant has until they discontinue participation.

How we built it

We merged, cleaned, and processed the data given to us to create a classification and regression model. We used features such as participant age, the years in which they participated, and the number of sessions they attended.

Challenges we ran into

There were various issues that we faced with processing the data and configuring a usable model.

Accomplishments that we're proud of

We created 2 models and a useful tool (interactive dashboard) to enhance retention.

What we learned

We learned how to work efficiently and quickly in a team.

What's next for A Tool for Predictive Participant Retention Analysis

We suggest further model optimization and additions to our interactive dashboard.

Built With

• css
• html
• javascript
• jupyter
• python