Getting Started with Scikit-Learn: A Beginner's Guide to ML

Getting Started with Scikit-Learn: A Beginner's Guide to ML, available at $39.99, has an average rating of 5, with 7 lectures, 6 quizzes, based on 1 reviews, and has 8 subscribers.

You will learn about Fundamental concepts of Machine Learning and its various types. Hands-on knowledge of various Machine Learning algorithms using the Scikit-Learn library. Techniques to pre-process data, select the right model, train, test, and evaluate Machine Learning models. Practical understanding of how to use Scikit-Learn for regression, classification, clustering, and dimensionality reduction tasks. Model evaluation techniques and the understanding of underfitting and overfitting. This course is ideal for individuals who are Beginners who are interested in Machine Learning and want to understand it through practical applications. or Python programmers who are interested in Machine Learning and want to learn how to implement Machine Learning algorithms using Scikit-Learn. or Data analysts or data scientists who want to upgrade their skills by learning Machine Learning techniques. or Anyone who is curious about how Machine Learning models work and how they can be implemented using Scikit-Learn. It is particularly useful for Beginners who are interested in Machine Learning and want to understand it through practical applications. or Python programmers who are interested in Machine Learning and want to learn how to implement Machine Learning algorithms using Scikit-Learn. or Data analysts or data scientists who want to upgrade their skills by learning Machine Learning techniques. or Anyone who is curious about how Machine Learning models work and how they can be implemented using Scikit-Learn.

Enroll now: Getting Started with Scikit-Learn: A Beginner's Guide to ML

Summary

Title: Getting Started with Scikit-Learn: A Beginner's Guide to ML

Price: $39.99

Average Rating: 5

Number of Lectures: 7

Number of Quizzes: 6

Number of Published Lectures: 7

Number of Published Quizzes: 6

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: ₹999

Quality Status: approved

Status: Live

What You Will Learn

• Fundamental concepts of Machine Learning and its various types.
• Hands-on knowledge of various Machine Learning algorithms using the Scikit-Learn library.
• Techniques to pre-process data, select the right model, train, test, and evaluate Machine Learning models.
• Practical understanding of how to use Scikit-Learn for regression, classification, clustering, and dimensionality reduction tasks.
• Model evaluation techniques and the understanding of underfitting and overfitting.

Who Should Attend

• Beginners who are interested in Machine Learning and want to understand it through practical applications.
• Python programmers who are interested in Machine Learning and want to learn how to implement Machine Learning algorithms using Scikit-Learn.
• Data analysts or data scientists who want to upgrade their skills by learning Machine Learning techniques.
• Anyone who is curious about how Machine Learning models work and how they can be implemented using Scikit-Learn.

Target Audiences

• Beginners who are interested in Machine Learning and want to understand it through practical applications.
• Python programmers who are interested in Machine Learning and want to learn how to implement Machine Learning algorithms using Scikit-Learn.
• Data analysts or data scientists who want to upgrade their skills by learning Machine Learning techniques.
• Anyone who is curious about how Machine Learning models work and how they can be implemented using Scikit-Learn.