This module introduces basic machine learning concepts, tasks, and workflow using an example classification problem based on the K-nearest neighbors method, and implemented using the …

Job-ready foundational machine learning skills in Python in just 6 weeks, including how to utilizeScikit-learn to build, test, and evaluate models.

This course, Applied Machine Learning with Python, focuses on teaching practical machine learning techniques using Python. It covers various algorithms, including decision trees, …

Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text …

Transform you career with Coursera's online Python Machine Learning courses. Enroll for free, earn a certificate, and build job-ready skills on your schedule. Join today!

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the …

Develop expertise in algorithms, model training, and predictive analytics. Explore hands-on courses in neural networks, natural language processing, and advanced machine learning …

This week, you will learn about what machine learning (ML) actually is, contrast different problem scenarios, and explore some common misconceptions about ML. You will apply this …

Explore the practical applications of machine learning through hands-on modules covering data pre-processing, feature extraction, model evaluation, and supervised learning techniques.