Carrie LauNavigate back to the homepage

Machine Learning Competition - WS20/21

Carrie Lau
February 4th, 2021 · 1 min read

In the practical course, two data sets were given to us. Our task was to train several machine learning models that can predict the interest rate in the data sets, achieved in a high accuracy. The two tasks included both a regression and a classification problem and, due to the large amount of data, placed high demands on the skills of data pre-processing and feature se-lection. The models were then tested against a given test set at an online data science platform Kaggle. In there students among our class are competed against each other in terms of best model performance.

The course included both individual, followed by a group work and concluded with a final presen-tation on the results achieved.

In the future, I am planning to participate more Kaggle challenge. You can find me HERE .

More articles from Carrie Lau Porfolio

B2C Wine Cellar - online e-Commerce

More than a year of experience working at a wine e-Commerce company as a product manager and UX designer.

February 2nd, 2020 · 2 min read

Smart Home Appliance - An Automatic Kitchen Ventilation

In this project, we have created a prototype for an automatic kitchen ventilator, which turns on automatically once someone starts cooking.

December 4th, 2019 · 3 min read
© 2017–2021 Carrie Lau Porfolio
Link to $ to $ to $ to $