The course lacks clarity and depth. I don't think any beginner will really learn much from this course to implement in real life data science problems. Some answers to quiz questions are just wrong. There are far better courses available on AI ML foundations compared to this.
Supervised Learning Essential Training
With Ayodele Odubela
Liked by 369 users
Duration: 1h 28m
Skill level: Intermediate
Released: 1/21/2021
Course details
Data scientists and ML/AI students may need some practical experience with supervised learning algorithms. In this course, instructor Ayodele Odubela teaches you to apply models you’ve created to new data and to assess model performance. First, Ayodele outlines what supervised learning is and how to make predictions using labeled training data. She gives you an overview of the logistic regression algorithm, how to build a linear model in Python, and how to calculate model metrics. Next, Ayodele helps you create your first decision trees as well as k-nearest neighbors models using GridSearch. Ayodele covers how you can create artificial neural networks that are foundational for most deep learning work. She concludes with an ethical AI overview and asks you to consider the impact of your models.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Apat Bhanupratap
Apat Bhanupratap
Asst. Analytics Manager - Risk Mgmt and Pricing | Data Science and engineering | Machine Learning | Azure Databricks | Ex-TCS
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Chrystal Bradley
Chrystal Bradley
Student at University of Phoenix
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone