Scikit-Learn to Solve Regression Machine Learning Problems
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.
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- Level Foundation
- المدة 3 ساعات hours
- الطبع بواسطة Coursera
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Offered by
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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.الوحدات
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- Assess Your Knowledge
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- Scikit-Learn to Solve Regression ML Problems
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- Project Overview
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Dive into the world of data science with "Scikit-Learn to Solve Regression Machine Learning Problems." This beginner-level course, taught on Coursera, focuses on building and training regression models using the Scikit-Learn library. Spanning 180 minutes, it offers practical, industry-relevant skills ideal for enhancing your project portfolio. Accessible for free, it's perfect for aspiring data scientists and AI enthusiasts.
Ryan Ahmed