Scikit-Learn For Machine Learning Classification Problems
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.
Buy Now Free
- Level Beginner
- Duration 2 hours
- Course by Coursera Project Network
-
Offered by
About
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.Modules
Your Learning Journey
-
1
Readings
-
1
Plugin
-
1
Lab
-
1
Assignment
1
Assignment
- Assess Your Knowledge
1
Labs
- Scikit-Learn For Machine Learning Classification Problems
1
Readings
- Project Overview
Auto Summary
Embark on a hands-on journey with "Scikit-Learn For Machine Learning Classification Problems" on Coursera, led by an expert instructor. Ideal for beginners in Data Science & AI, this 120-minute free course delves into building and training classifier models using the Scikit-Learn library, covering popular algorithms like support vector machines, random forests, and k-means.
Ryan Ahmed