Our machine learning introductory course provides a more comprehensive overview of the topic and omits deep learning. This 2-day on-site workshop dives further into the topic of machine learning to give participants time to explore additional supervised and unsupervised algorithms. Participants gain hands-on experience building and testing models using the industry's most widely-used tool, Python. Here is a sample of our curriculum: Introduction to Machine Learning (ML) Details: Tying ML projects to measurable business outcomes Applying industry-standard project frameworks Understanding reality vs. hype of ML Non-linear regression, discriminant/factor analysis, Support Vector Machines, data reduction techniques, clustering with DBSCAN and Gaussian Mixture Models In-class case study specific to your business/industry ML labs in Python via Google Colaboratory Recommended for analysts and developers with some coding experience in Python