Machine Learning Specialist

Cost:R3 887.40

Deposit: R971.85

Monthly instalments: R971.85 x 3

Duration: You will have Skillsoft access to this course for 12 months. The average time required to work through the syllabus is:

• 11 courses (5h 34m) / 15 labs (15h) / 19 others (17h 45m)
• Optional additional resources are available to enhance your learning in your own time.

About the course

Course code: C01381

Course overview:

• Track 1: Supervised Learning I: Linear and Logistic Regression
• Track 2: Supervised Learning II: Naive Bayes, SVM, KNN and Decision Trees
• Track 3: Feature Engineering
• Track 4: Unsupervised Learning
• Track 5: Improving Machine Learning Models

Modules and topics covered:

Track 1: Supervised Learning I: Linear and Logistic Regression

• Linear Regression
• Multiple Linear Regression with Python
• Logistic Regression
• Evaluation Metrics for Classification Tasks
• Logistic Regression II

Track 2: Supervised Learning II: Naive Bayes, SVM, KNN and Decision Trees

• Bayes Theorem
• Naive Bayes Classifier
• Support Vector Machines
• K-Nearest Neighbors
• K-Nearest Neighbors Regression
• Decision Trees

Track 3: Feature Engineering

• What is Feature Engineering?
• Introduction To Feature Selection Methods
• Filter Methods
• Feature Importance

Track 4: Unsupervised Learning

• Unsupervised Learning
• Clustering Techniques
• ML & Dimensionality Reduction: Performing Principal Component Analysis

Track 5: Improving Machine Learning Models

• Introduction To Ensembling Methods
• Stacking Machine Learning Models
• Introduction To Recommender Systems
• Recommender Systems: Under the Hood of Recommendation Systems

Admission requirements

Academic grade: We recommend the following prerequisite skills:

• Data Science Foundations
• Fundamental Math for Data Science

Language: Proficiency in English (course material and support only available in English).

Expertise level: Beginner

Equipment: Access to a PC or laptop with a reliable internet connection.

Effort: Self-paced learning online.

Course type: Short course

Industry partner: Skillsoft

Certification: Certificate confirming course completion.

Certification issued by: College SA

Each track concludes with a final internal exam that will test your knowledge and application of the topics presented throughout that specific track.

There are no external certification exams for this course.

Dedicated support team

We understand that students may require guidance and support to navigate the learning journey, and our Client Services team is always ready to assist them in every possible way. Our team is readily available during office hours and can be contacted via email, phone, and social media.

Skillsoft Learner Management System (LMS) access

Skillsoft is an online learning platform that offers engaging content, including interactive videos and quizzes, designed to support real-world learning. Students can study at their own pace while developing practical, career-focused skills.