Beginner Machine Learning

R2 760.00

Machine Learning is fundamental to data-driven decision making in many fields today. This Aspire Journey walks through what it is, how machine learning algorithms work and how to implement and evaluate them.

Online books Digital learning
Clock Start anytime
Calendar Months course access
Computer Skillsoft LMS access
Teacher and student Online Skillsoft mentor
Certificate Certified by Optimi College

Course fee: R2 760.00

DepositR690.00

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:

      • 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:

    • 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.

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