Practical specialization from the University of Michigan. Learn to apply ML techniques with Python, scikit-learn, and real-world data analysis.

About this course

This specialization from the University of Michigan on Coursera is designed for professionals who want to apply artificial intelligence and machine learning techniques using Python to real-world problems. The program covers the use of popular libraries such as scikit-learn, pandas, and matplotlib for data analysis, visualization, and building predictive models. You will learn supervised learning techniques including linear regression, logistic regression, decision trees, random forests, and support vector machines; unsupervised learning methods such as k-means clustering and principal component analysis; natural language processing for text and sentiment analysis; and techniques for model evaluation, cross-validation, and hyperparameter optimization.