Key features


How this works :

At Simplilearn, we greatly value the trust of our patrons. Our courses were designed to deliver an effective learning experience, and have helped over half a million find their professional calling. But if you feel your course is not to your liking, we offer a 7-day money-back guarantee. Just send us a refund request within 7 days of purchase, and we will refund 100% of your payment, no questions asked!

For Instructor Led Training :

Raise refund request within 7 days of commencement of the first batch you are eligible to attend. Money back guarantee is void if the participant has accessed more than 25% content of an e-learning course or has attended Online Classrooms for more than 1 day.

  • 28 hours of instructor-led training
  • Covers topics on supervised and unsupervised learning
  • Includes 2 industry-based projects on movie recommendation system and loan defaulter prediction
  • Includes topics on deep learning and spark machine learning

Course description

  • What’s the focus of this course?

    This course provides advanced-level training on Machine Learning applications and algorithms. It will give you hands-on experience in multiple, highly sought-after machine learning skills in both supervised and unsupervised learning. This machine learning training ensures you can apply machine learning algorithms like regression, clustering, classification,  and recommendation. The unique case study approach ensures you are working hands-on with data while you learn. You’ll also receive training in deep learning and Spark Machine learning—skills which are in great demand today.

  • What are the course objectives?

    After completing this course, you will be able to:
    • Classify the types of learning including supervised and unsupervised
    • Identify the various applications of machine learning algorithms
    • Perform supervised learning techniques: linear and logistic regression
    • Understand classification data and models
    • Use unsupervised learning algorithms including deep learning, clustering, and recommendation systems
    • Use machine learning with Spark

  • Who should take this course?

    The work for this course will be performed in Python/R. We have an introduction to these languages as part of the course. This course is best suited for:
    • Analytics professionals who want to work in machine learning or artificial intelligence
    • Data Science professionals who already have experience in R or Python
    • Professionals working in eCommerce, search, and other online consumer based organizations
    • Software professionals looking for a career switch into the field of analytics
    • Graduates looking to build a career in Data Science and machine learning
    • Experienced professionals who would like to harness machine learning in their fields to get more insight about customers
    Prerequisites: This course will be performed in python / R hence we have an introduction to these languages in the program itself.

  • What projects will I complete as part of the course?

    Project 1: Movie Recommendations
    For this project, you’ll receive provide data about movies and users which will be used to train the model and generate recommendations for users about which movies they would like to watch, using the collaborative filtering technique.

    Project 2: Predict Loan Defaults
    The data set for this project contains information on customers who received a Home Equity Line of Credit. The target variable is a flag. If the value is a "1" then the person defaulted on the loan. If the value is a "0" then the person repaid the loan. You’ll use the training data to develop a model to predict whether a customer will default on a loan, using the logistic regression technique.

    Submit one of the projects and on successful completion participant will receive an experience certificate.

Course preview

    • Lesson 1: Introduction to Machine Learning 15:45
      • Introduction to Big Data and Machine Learning 15:45
    • Lesson 2: Walking with Python or R
      • 1 Understanding Python or R
    • Lesson 3: Machine Learning Techniques 13:47
      • 1 Types of Learning13:47
      • 2 Advice for Applying Machine Learning
      • 3 Machine Learning System Design
    • Lesson 4: Supervised Learning 15:05
      • 1 Regression15:05
      • 2 Classification
    • Lesson 5: Supervised Learning - Regression 15:05
      • 1 Predicting house prices: A case study in Regression15:05
    • Lesson 6: Supervised Learning - Classification
      • 1 Analyzing the sentiment of reviews: A case study in Classification
    • Lesson 7: Unsupervised Learning
      • 1 Clustering
      • 2 Recommendation
      • 3 Deep Learning
    • Lesson 8: Unsupervised Learning - Clustering
      • 1 Document retrieval: A case study in clustering and measuring similarity
    • Lesson 9: Unsupervised Learning - Recommendation
      • 1 Recommending Products
    • Lesson 10: Unsupervised Learning – Deep Learning
      • 1 Deep Learning: Searching for Images
    • Lesson 11: Spark Core and MLLib
      • 1 Spark Core
      • 2 Spark Architecture
      • 3 Working with RDDs
      • 4 Machine learning with Spark – Mllib
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Exam & certification

  • How do I receive the certification?

    To receive the certificate for this course, you’ll need to submit one of the projects for the course. After successful evaluation by the course advisor, you’ll receive the certification.

  • What do I need to do to unlock my Simplilearn certificate?

    Online Classroom:
    • You need to attend one complete batch.
    • Complete 1 project.

Course advisor

Ronald van Loon
Ronald van Loon Top 10 Big Data & Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.


  • What are the System Requirements?

    This training course requires R or Python. To run Python, your system needs to meet the following requirements:
    • 32- or 64- bit operating system
    • 1 GB RAM

  • Who are the trainers?

    Our training courses are delivered by highly qualified, certified instructors with relevant industry experience.

  • What training formats are used for this course?

    We offer this course in the Live Virtual Classroom or Online Classroom mode. With online classroom training, you have the option to attend the course remotely from your desktop via video conferencing. This format saves productivity challenges and decreases your time spent away from work or home.

  • What if I miss a class?

    We provide the recordings of the class after the session is conducted. So, if you miss a class, you can go through the recordings before the next session.

  • Can I cancel my enrollment? Will I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

  • Who provides the certification?

    You will earn a course completion certificate after you successfully complete the training program and your project is evaluated as Satisfactory by the course advisor.

  • What are the payment options?

    You enroll in the program on the Simplilearn website, and make an online payment using any of the following options. You will be emailed a receipt after the payment is made.
    • Visa Credit or Debit card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

  • Who are our Faculties and how are they selected?

    All our trainers are working professionals and industry experts with at least 10-12 years of relevant teaching experience.

    Each of them have gone through a rigorous selection process which includes profile screening, technical evaluation, and training demo before they are certified to train for us.  

    We also ensure that only those trainers with a high alumni rating continue to train for us.

  • What is Global Teaching Assistance?

    Our teaching assistants are here to help you get certified in your first attempt.

    They are a dedicated team of subject matter experts to help you at every step and enrich your learning experience from class onboarding to project mentoring and job assistance.

    They engage with the students proactively to ensure the course path is followed.

    Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls.  

    We also have a dedicated team that provides on demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

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