courseraАнализ данных

Scikit-Learn For Machine Learning Classification Problems

Курс от Coursera

Начальный≈ 1.8 чАнглийский

О курсе

Hello everyone and welcome to this new hands-on project on Scikit-Learn Library for solving machine learning classification problems. In this project, we will learn how to build and train classifier 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.

Навыки, которые вы освоите

Classification Algorithms Scikit Learn (Machine Learning Library)Data Analysis Machine Learning Predictive Modeling Random Forest Algorithm Applied Machine Learning Unsupervised Learning Machine Learning Algorithms Model Training Supervised Learning

Программа курса

1 модулей · 4 учебных материалов

01Project Overview4 материалов

Your Learning Journey

Project OverviewЧтение Scikit-Learn For Machine Learning Classification ProblemsЛабораторная Assess Your KnowledgeЗадание Course End Survey - We appreciate your feedback!

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Dr. Ryan Ahmed

Professor & AI Expert (1M+ Students)