Data Science: Machine Learning Competition

Issued by Saint Louis University Chaifetz School of Business

The data science badge in machine learning indicates that the recipient can create an effective supervised machine learning model on appropriate business data to make predictions. It also shows that the individual can apply feature construction, feature extraction, feature selection, and hyperparameter tuning techniques to refine the model. The badge includes one classification and one regression competition. The participant needs to have a good score in either of them to earn the badge.

Type Validation
Level Foundational
Time Weeks
Cost Free

Skills

Earning Criteria

Kaggle Competition: Titanic - Machine Learning from Disaster is a popular classification competition on Kaggle.
The objective of this competition is to use machine learning to create a model that predicts which passengers survived the Titanic shipwreck. The participant should come in the first 10% of the total participants at the time of submission. The individual will need to show proof of their Kaggle Leaderboard ranking and the total number of participants.
Kaggle Competition: House Prices - Advanced Regression Techniques is a popular regression competition on Kaggle.
The objective of this competition is to use machine learning to create a model that predicts the price of houses in a neighborhood. The participant should come in the first 40% of the total participants at the time of submission. The individual will need to show proof of their Kaggle Leaderboard ranking and the total number of participants.