Design Thinking and Predictive Analytics for Data Products
About this Course
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.Created by: University of California San Diego
Related Online Courses
Azure Machine Learning is a cloud platform for training, deploying, managing, and monitoring machine learning models. In this course, you will learn how to use the Azure Machine Learning Python SDK... more
Master the art of process improvement with the Lean Six Sigma Green Belt course. Designed to equip you with the tools and techniques to identify inefficiencies, reduce waste, and drive measurable... more
Welcome to the coursera guided project on using Metasploit! This comprehensive training program focuses on the key tools and techniques needed to conduct ethical hacking and penetration testing.... more
Did you know that particle accelerators play an important role in many functions of todays society and that there are over 30 000 accelerators in operation worldwide? A few examples are... more
Through this Specialization, students learn the essential skills of an Insurance Billing Specialist. Knowledge of human anatomy and medicine is necessary for any healthcare role, so students are... more
Powered by
