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...
By Ryan Ahmed on Coursera
About This Course
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.
Topics Covered
Frequently Asked Questions
How much does Scikit-Learn For Machine Learning Classification Problems cost?
Visit the Scikit-Learn For Machine Learning Classification Problems course page for current pricing and available discounts.
Who teaches Scikit-Learn For Machine Learning Classification Problems?
Scikit-Learn For Machine Learning Classification Problems is taught by Ryan Ahmed, Coursera.
What skill level is Scikit-Learn For Machine Learning Classification Problems for?
This course is designed for all levels learners.
Similar Courses
TensorFlow: Advanced Techniques
DeepLearning.AI
Microsoft Azure AI Fundamentals AI-900 Exam Prep
Microsoft
Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau
Packt
Data Literacy: Exploring and Visualizing Data
SAS