Skills you will learn

  • Linear regression
  • Kmeans clustering
  • Logistic Regression
  • Decision tree
  • Random forest
  • PCA
  • Reinforcement learning
  • Q learning

Who should learn

  • Machine learning enthusiasts
  • Software engineers
  • Data scientists
  • Data analysts
  • Statisticians

What you will learn

  • Getting Started with Machine Learning Algorithms

    • Introduction

      01:22
      • Introduction ML Algorithm
        01:22
    • Lesson 01: Introduction to Machine Learning

      07:08
      • Introduction to Machine Learning
        07:08
    • Lesson 02: Supervised Learning Algorithms- Linear Regression

      34:22
      • Supervised Learning Algorithms- Linear Regression
        34:22
    • Lesson 03: Logistic Regression

      30:33
      • Logistic Regression
        30:33
    • Lesson 04:Decision Tree

      24:45
      • Decision Tree
        24:45
    • Lesson 05: Random Forest

      40:11
      • Random Forest
        40:11
    • Lesson 06: Support Vector Machine (SVM)

      23:44
      • Support Vector Machine(SVM)
        23:44
    • Lesson 07: K Nearest Neighbors (KNN)

      26:31
      • K Nearest Neighbors(KNN)
        26:31
    • Lesson 08: Unsupervised Learning Algorithms- K means Clustering

      48:49
      • Unsupervised Learning Algorithms- K means Clustering
        48:49
    • Lesson 09: Principal component analysis (PCA)

      30:34
      • Principal component analysis(PCA)
        30:34
    • Lesson 10: Reinforcement Learning

      36:57
      • Reinforcement Learning
        36:57
    • Lesson 11: Q Learning

      21:38
      • Q Learning
        21:38

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Why you should learn

$31 billion by 2024

Worth of Machine Learning jobs globally

$112K

Average salary of a Machine Learning engineer

FAQs

  • What are the prerequisites to learn machine learning algorithms?

    There are no prerequisites to learn machine learning algorithms. However, it is recommended that learners have a basic understanding of statistics, mathematics, and machine learning concepts.

  • How do beginners get started with machine learning algorithms?

    Beginners who want to learn machine learning algorithms 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 learn machine learning algorithms?

    The machine learning algorithms course for beginners consists of 6 hours of video content that will help you gain a thorough understanding.

  • Are machine learning algorithms easy to learn?

    The videos that you find as a part of the machine learning algorithms free 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.

  • What are the machine learning algorithms basics covered in this free course?


    The machine learning basics covered in the course include: 

    • Supervised learning algorithms like linear regression, logistic regression, decision tree, random forest, SVM, and KNN
    • Unsupervised learning algorithms like k-means clustering, PCA, reinforcement learning, and Q-learning

  • Can I complete this machine learning algorithms course for beginners in 90 days?

    Yes, you can complete this machine learning algorithms course for beginners within 90 days.

  • Will I get a certificate after completing the Machine Learning algorithms free course?

    Yes, You will receive a Course Completion Certificate from SkillUp upon completing the Machine Learning algorithms free program. You can unlock it by logging in to your SkillUp account. As soon as the certificate is unlocked, you will receive a mail with a link to your SkillUp learning dashboard on your registered mail address. Click the link to view and download your certificate. You can even add the certificate to your resume and share it on social media platforms.

  • What are my next best learning options after completing this free machine learning algorithms course?

    After completing this free machine learning algorithms course, you can opt for the Post Graduate Program in AI and Machine Learning course provided by Simplilearn.

  • What are the career opportunities for machine learning professionals?

    Common careers for machine learning professionals include:

    • Machine learning engineer
    • Data scientist
    • Artificial Intelligence engineer
    • NLP scientist

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