AI and ML I

Deploying Supervised AI/ML 
Methodologies with Python

Actionable Analytics
Artificial Intelligence (AI) and Machine learning (ML) is a mechanism where computers “learn” from data without requiring a large amount of human interaction. This process has given rise to a number of recent developments in technology such as: self-driving cars, natural language processing and improved understanding of the human genome.

Deploying Supervised AI/ML 
Methodologies with Python

Actionable Analytics
Artificial Intelligence (AI) and Machine learning (ML) is a mechanism where computers “learn” from data without requiring a large amount of human interaction. This process has given rise to a number of recent developments in technology such as: self-driving cars, natural language processing and improved understanding of the human genome.

prerequisites

Successful completion of

Taken within the last year

duration

Full day or
two half-days

Virtual or in-person

certification

afterskills AI/ML I
practitioner

Awarded upon completion

course description_

The technical jargon associated with AI/ML has made it inaccessible to the typical business professional. Business Intelligence: Deploying Supervised AI/ML Methodologies with Python aims to demystify all the hype and buzzwords surrounding AI/ML and teach you the most effective techniques while offering you a chance to implement these models yourself. The main focus of this course will be to teach you the practical know-how needed to quickly apply these techniques to everyday business problems.

After this course, participants will have an understanding of supervised AI / ML algorithms and common algorithms that can be applied in the workplace.

agenda

Topic 1: Introduction & Encoding
Topic 2: Categorical Feature Engineering
Topic 3: Numerical Feature Engineering
Topic 4: Supervised Learning Regressions
Topic 5: Regression Regularization
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