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.
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- Level Foundation
- المدة 2 ساعات hours
- الطبع بواسطة Coursera Project Network
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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.الوحدات
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- Assess Your Knowledge
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- Scikit-Learn For Machine Learning Classification Problems
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- Project Overview
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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