Scikit-Learn to Solve Regression Machine Learning Problems
About this Course
Hello everyone and welcome to this new hands-on project on Scikit-Learn for solving machine learning regression problems. In this project, we will learn how to build and train regression models using Scikit-Learn library. Scikit-learn is a free machine learning library developed for python. Scikit-learn offers several algorithms for classification, regression, and clustering. Several famous machine learning models are included such as support vector machines, random forests, gradient boosting, and k-means. This project is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your next job interview.Created by: Coursera Project Network
Related Online Courses
Begin your journey into Natural Language Processing (NLP) with an introduction to text data and encoding techniques, delving into the intricacies of regular expressions through extensive practice... more
This course introduces you to Amazon Redshift, the AWS service that provides cloud-native data warehousing. This course introduces you to the service and its core features and capabilities. You... more
In this course you will learn how to work with data in iOS. Data is the key ingredient for any functional app and one must learn how to properly display it to the user. You will learn how to use... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore how to use Managed Service for Prometheus in a self-deployed data collection mode. You can also... more
This course addresses evaluating Large Language Models (LLMs), starting with foundational evaluation methods, exploring advanced techniques with Vertex AI\'s tools like Automatic Metrics and... more
Powered by
