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Learn the Basics of Machine Learning with IBM Watson Studio

This IBM Web-Based Training (WBT) is Self-Paced and includes: - Instructional content available online for duration of course - Visuals without hands-on lab exercises This course introduces a case...

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$100 USD
Course Code W7160G-WBT
Duration 4 hours
Available Formats Self Paced
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This IBM Web-Based Training (WBT) is Self-Paced and includes:
- Instructional content available online for duration of course
- Visuals without hands-on lab exercises

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

 

In the first module, you will examine the case study, and will be introduced to Amsel Fit, 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.

Skills Gained

Please refer to course overview.

Who Can Benefit

This course is intended for anyone who wants to get a higher level overview of machine learning algorithms.

Prerequisites

Successful completion of Watson Studio Primer or general knowledge of Watson Studio.

Course Details

Course Outline

Please refer to course overview.

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