Scikit-Learn Skills you will learn

  • Data Preprocessing
  • Model Building
  • Machine Learning Algorithms
  • Model Evaluation
  • Hyperparameter Tuning

Who should learn this free Scikit-Learn course?

  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • Business Intelligence Analysts
  • Software Engineers

What you will learn in this free Scikit-Learn course?

  • Scikit-Learn for Beginners

    • Introduction

      01:49
      • Introduction
        01:49

    • Lesson 1: What is Scikit-Learn?

      43:56
      • What is Scikit-Learn?
        43:56

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Why you should learn Scikit-Learn?

$302 Billion

Expected size of global Data Analytics market by 2030.

$121K+ (USA) | INR 11.4 LPA

Average Salary of a Data Scientist annually.

About the Course

Master Scikit-learn, Python's premier library for machine learning. This Scikit learn course provides hands-on training in building and deploying machine learning models, simplifying complex concepts like data preprocessing, algorithm implementation, and model evaluation. Designed for aspiring data professionals, it equips you with the tools to solve real-world challenges and excel in AI-driven roles.

Topics Covered:

  1. Read More

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FAQs

  • What is the free Scikit-learn course about?

    The course focuses on teaching Scikit-learn, a Python library for machine learning, covering model building, evaluation, and real-world applications.

  • Who should learn this Scikit-learn free course?

    This course is ideal for data enthusiasts, aspiring data scientists, machine learning engineers, and professionals seeking to expand their ML skills.

  • Do I need prior programming knowledge for this course?

    Yes, basic knowledge of Python is recommended to fully benefit from the course.

  • What topics are covered in the Scikit-learn course?

    Topics include data preprocessing, regression, classification, clustering, model evaluation, hyperparameter tuning, and pipelines.

  • Are there any projects included in this free Scikit-learn course?

    Yes, the course includes hands-on projects with real-world datasets to reinforce practical understanding.

  • How long does it take to complete the Scikit-learn course?

    This course on Scikit-Learn is 1 hour long.

  • Will I get a certificate after completing the course?

    You'll receive your certificate upon successfully completing the course.

  • How does this free scikit-learn course help in career advancement?

    It equips you with practical machine learning skills, helping you qualify for roles like Data Scientist, ML Engineer, and Analyst.

  • Is this course suitable for beginners in machine learning?

    Yes, the course is designed to cater to beginners while also being beneficial for professionals looking to enhance their ML expertise.

  • Can I use the Scikit-learn skills in real-world projects?

    Absolutely! The course focuses on practical applications, enabling you to build and deploy ML models for real-world challenges.

Related Courses

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.