Machine Learning: Regression
About this Course
Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression. In this course, you will explore regularized linear regression models for the task of prediction and feature selection. You will be able to handle very large sets of features and select between models of various complexity. You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions. To fit these models, you will implement optimization algorithms that scale to large datasets. Learning Outcomes: By the end of this course, you will be able to: -Describe the input and output of a regression model. -Compare and contrast bias and variance when modeling data. -Estimate model parameters using optimization algorithms. -Tune parameters with cross validation. -Analyze the performance of the model. -Describe the notion of sparsity and how LASSO leads to sparse solutions. -Deploy methods to select between models. -Exploit the model to form predictions. -Build a regression model to predict prices using a housing dataset. -Implement these techniques in Python.Created by: University of Washington
Related Online Courses
Advance your strategic analysis skills in this follow-up to Foundations of Business Strategy. In this course, developed at the Darden School of Business at the University of Virginia, you\'ll learn... more
This course focuses on the early stages of drug discovery and the identification of promising compounds with which to begin the hunt for a novel drug. Different types of assays and methods are... more
This Specialization is intended for anyone to learn practical applied Bioinformatics skills by studying real data from the COVID-19 pandemic. Whether you\'re new to the world of computational... more
This specialisation from the University of London is designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in further study and in... more
Introducing the Java FullStack Developer Specialization, designed to empower your software development career by providing a comprehensive skillset for building integrated, cloud-ready web... more