Supervised Learning

The University of Maryland, College Park is a large, research-intensive public university that combines rigorous academics with abundant opportunities for internships and industry collaboration. Located near Washington, D.C., UMD offers diverse undergraduate and graduate programs across fields such as engineering, business, public policy, arts and sciences. The campus fosters innovation through interdisciplinary research centers and strong ties to government and private-sector partners.

UMD supports international students with comprehensive services that include orientation, academic advising, career counseling and language assistance. Students can engage in cutting-edge research alongside faculty, participate in student organizations and access a wide range of experiential learning options. The university’s emphasis on entrepreneurship, sustainability and technology provides practical pathways to professional development and real-world impact.

Proximity to the nation’s capital expands internship and networking possibilities, while active student life and numerous clubs help build community. UMD’s combination of academic excellence, research opportunities and strategic location makes it an attractive choice for students seeking a rigorous education with strong career prospects and global connections.

The Supervised Learning program is a non-degree course for students who want to learn how to build supervised learning models. It's taught in English and lasts several weeks. The main advantage of this program is that it helps students learn popular supervised learning models using Python and Sklearn.

The curriculum covers specific subjects like K-Nearest Neighbor, Support Vector Machines, Regression, Random Forest, and Decision Trees. Students develop skills in building models using just a few lines of code with Sklearn and Python. The program includes hands-on components to help students practice their skills.

After completing this program, students can pursue careers as Data Scientists, Machine Learning Engineers, Business Intelligence Developers, Data Analysts, or Python Developers. They can work in various industries, including technology, finance, and healthcare, for employers like Google, Microsoft, or IBM.