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This course introduces a case study, dataset, common machine learning algorithms, and developing a machine learning model with IBM Watson Studio.

In the first module, you will be introduced to Amsel Fit, our case study, a fictional company that produces dietary products, supplements, and healthy foods. The company faces a drop in sales and decides to analyze its marketing approach and predict which customers will or will not be likely to continue buying products. Also, you will be introduced to the dataset that we will be using to develop a machine learning model.

In the next module, you will be introduced to machine learning models including supervised, unsupervised learning that include classification and regression models, deep learning and reinforcement learning approaches.

In the third module, based on module one and module two, you will develop a supervised machine learning model with the dataset provided to predict which customer will buy or will not buy again after a coupon is provided.

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What You'll Learn

  • Define machine learning
  • Explain key terms of machine learning
  • Outline supervised and unsupervised models
  • Define deep learning and reinforcement learning
  • List model development steps
  • Develop the Random Forest model
  • Evaluate the results

Who Should Attend

This course is intended for anyone who wants to get a higher level overview of machine learning algorithms. Some coding experience would be useful. However, some level of IBM Watson Studio knowledge is required for model development on Watson Studio.

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Prerequisites

If you are unfamiliar with Watson Studio, please review the Watson Studio Primer course, W7118G.

Learning Journey

Coming Soon...

  • Introduction to the course
  • Introduction to the case study and data set
  • Introduction to Machine Learning
  • Developing the model

Frequently Asked Questions (FAQs)

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    These certifications are globally recognized and can help you advance your career, increase your earning potential, and demonstrate your commitment to professional development.

    IBM-certified professionals are in high demand, making them valuable assets to any organization seeking to leverage IBM's innovative solutions.

  • What to expect for the examination?

    IBM offers a variety of certification exams at different levels (Basic, Intermediate, and Advanced) covering various technologies and job roles.

    Exams typically consist of multiple-choice questions and may include scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is IBM certification valid for?

    The validity period of IBM certifications varies. Some certifications, particularly those focused on specific product versions or technologies, may have expiration dates.

    However, many IBM certifications, especially those focused on broader skills or newer technologies, do not have an expiration date.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

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    Here’s what sets us apart:

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Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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