International Business Machines Corporation (IBM) is a globally recognized public multinational technology company founded in 1911. Initially named the Computing-Tabulating-Recording Company (CTR), it was renamed IBM in 1924. Known for its pioneering innovations in computer hardware, software, and IT consulting services, IBM has played a key role in advancing fields such as artificial intelligence (AI), cloud computing, and quantum computing. Distinguished by its commitment to research and development, IBM is responsible for groundbreaking inventions like the ATM, personal computer, and the Watson AI system.

This Machine Learning with Python course dives into the basics of machine learning using Python, an approachable and well-known programming language. You'll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each. We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. Along the way, you’ll look at real-life examples of machine learning and see how it affects society in ways you may not have guessed! Most importantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine! We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests. Mostimportantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!