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Scikit-Learn For Machine Learning Classification Problems

Offered By: Coursera Project Network via Coursera

Tags

scikit-learn Courses Machine Learning Courses Python Courses Classification Courses Clustering Courses Random Forests Courses K-means Courses Gradient Boosting Courses

Course Description

Overview

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.

Syllabus

  • Project Overview
    • 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.

Taught by

Ryan Ahmed

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