Machine Learning

ML: Syllabus

Learn how to implement, optimize, and deploy machine learning models with a 90% hands-on approach, using real-world datasets and Python.

September 7, 2023 in Machine Learning, AI Development3 minutes

ML: Unsupervised Learning

This module covers unsupervised learning methods such as K-Means clustering, hierarchical clustering, principal component analysis (PCA), and anomaly detection using One-Class SVM.

September 7, 2023 in Machine Learning3 minutes