courseraАнализ данных

Scikit-Learn to Solve Regression Machine Learning Problems

Курс от Coursera

Начальный≈ 1.9 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Model Training Regression Analysis Scikit Learn (Machine Learning Library)Predictive Modeling Machine Learning Algorithms Predictive Analytics Machine Learning Data Analysis Classification Algorithms Applied Machine Learning Python Programming

Программа курса

1 модулей · 4 учебных материалов

01Project Overview4 материалов

Your Learning Journey

Project OverviewЧтение Scikit-Learn to Solve Regression ML ProblemsЛабораторная Assess Your KnowledgeЗадание Course End Survey - We appreciate your feedback!

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Dr. Ryan Ahmed

Professor & AI Expert (1M+ Students)