Course fee: R2 760.00
Deposit: R690.00
Monthly instalments: R690.00 x 3
Duration: You will have Skillsoft access to this course for 12 months. The average time required to work through the syllabus is:
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- 4 courses (1h 25m) / 12 labs (12h) / 16 others (14h 30m)
- Optional additional resources are available to enhance your learning in your own time.
Course code: C01343
Course overview:
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- Track 1: Introduction to Machine Learning
- Track 2: Supervised Learning I : Linear and Logistic Regression
- Track 3: Supervised Learning II: Naive Bayes, SVM, KNN and Decision Trees
- Track 4: Recommender Systems
- Track 5: Unsupervised Learning; K Means Clustering and PCA
Modules and topics covered:
Track 1: Introduction to Machine Learning
What is Machine Learning?
What is Feature Engineering?
Numerical Transformations
Regression vs Classification
Distance Formula
Track 2: 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 3: 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 4: Recommender Systems
Introduction To Recommender Systems
Build a Recommender using Python
Track 5: Unsupervised Learning; K Means Clustering and PCA
Principal Component Analysis (PCA)
K Means Clustering
Academic grade: No minimum school pass requirements or formal prerequisites.
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: Optimi College
Assessment information:
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, WhatsApp and social media.
Skillsoft Learner Management System (LMS) access
Skillsoft is an online learning management system that offers all students enrolled for any of our IT Academy courses compelling content, interactive videos, quizzes, mentoring and practical simulations/virtual labs. The platform allows students to learn at their own pace.