Supervised & Unsupervised Learning Skills you will learn

  • Regression
  • Regularization
  • Classification
  • Clustering

Who should learn Supervised & Unsupervised Learning

  • Aspiring Data Scientists
  • Software Engineers
  • Web developers
  • AIML enthusiasts

What you will learn in Supervised Unsupervised Learning

  • Introduction to Supervised & Unsupervised Machine Learning

    • Introduction

      00:50
      • Introduction
        00:50
    • Lesson 01: Basics of Machine Learning

      07:44
      • Basics of Machine Learning
        07:44
    • Lesson 02: Supervised Vs Unsupervised Learning

      14:35
      • Supervised Vs Unsupervised Learning
        14:35
    • Lesson 03: Linear and Logistic Regression

      01:00:34
      • Linear and Logistic Regression
        01:00:34
    • Lesson 04: Decision Tree and Random Forest

      01:06:52
      • Decision Tree and Random Forest
        01:06:52
    • Lesson 05: Naive Bayes and SVM

      01:06:41
      • Naive Bayes and SVM
        01:06:41
    • Lesson 06: K Nearest Clustering

      26:32
      • K Nearest Clustering
        26:32
    • Lesson 07: K means Clustering

      48:50
      • K means Clustering
        48:50
    • Lesson 08: PCA and Regularization

      59:48
      • PCA and Regularization
        59:48

Get a Completion Certificate

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

Why you should learn Supervised & Unsupervised Learning

$8.81 billion

Expected Machine Learning market growth by 2022

44.1% growth

In the adoption of Machine Learning in organizations
 

FAQs

  • What are the prerequisites to get started with Unsupervised Learning and Supervised Learning free course?

    There are no prerequisites to learn Unsupervised Learning and Supervised Learning free course. However, it is recommended that learners have a basic understanding of mathematics, statistics and programming.

  • How do beginners start with the Introduction to Supervised & Unsupervised Machine Learning free course?

    Beginners who want to learn Supervised & Unsupervised Machine Learning can start with the fundamentals first. Once you have mastered the basics you can move on to the advanced topics.

  • How long does it take to finish the Introduction to Supervised & Unsupervised Machine Learning?

    The Introduction to Supervised & Unsupervised Machine Learning course consists of 5 hours of video content that will help you gain a thorough understanding.

  • Is Supervised & Unsupervised Machine Learning easy to learn?

    The videos that you find as a part of the Introduction to Supervised & Unsupervised Machine Learning course are created by mentors who are industry leaders with vast experience in the field. They are aware of the needs of different learners and have designed the course to be easy to learn.

  • Why learn Machine Learning?

    Machine Learning (ML) is the technology that has revolutionized the way we live in the 21st century.  Self-driving cars, cyber fraud detection, and online recommendation engines from Facebook, Spotify, Netflix, and Amazon are all applications of machine learning. According to a recent report from TMR, MLaaS (Machine learning as a Service) is expected to grow to $19.9 billion by the end of 2025. Almost every customer-centric organization today is en route to AI adoption in some form or another. This has led to a simultaneous surge in the demand for trained machine learning engineers across top enterprises worldwide — meaning that now is the time to learn machine learning. 

  • Can I complete this Supervised & Unsupervised Machine Learning course in 90 days?

    Yes, you can complete the Supervised & Unsupervised Machine Learning course within 90 days.

  • Will I get a certificate after completing the free Supervised & Unsupervised Machine Learning course?

    Yes, you will receive a course completion certificate from SkillUp after completing the free Supervised & Unsupervised Machine Learning course.

  • What are my next best learning options after completing this free Supervised & Unsupervised Machine Learning course?

    After completing this free Supervised & Unsupervised Machine Learning course, you can opt for the Post Graduate Program in AI and Machine Learning provided by Simplilearn.

  • What are the career opportunities after completing the Supervised & Unsupervised Machine Learning course?

    Common careers after this course include:

    • ML Engineer
    • Analytics Manager
    • Business Analyst
    • Information Architect

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