Embark on a transformative learning journey with our "Solving Problems with Machine Learning" course. Tailored for professionals eager to master AI, this course equips you with the ability to apply machine learning techniques to solve complex challenges in your industry. You'll uncover the secrets of data-driven decision-making and predictive analytics, ensuring you're able to identify patterns, make informed predictions, and craft innovative solutions. Each session is designed to build your proficiency in harnessing the power of AI, preparing you to take on problems with confidence and creativity.

This course is not just about learning the theory; it's a springboard into the world of artificial intelligence applications. Through a blend of expert instruction and hands-on practice, you'll learn to navigate the machine learning landscape, develop AI strategies, and implement solutions that drive results. Whether you're tackling issues in finance, healthcare, or e-commerce, our training will provide you with the knowledge and tools to make an impact. Get started on Shopee and other platforms in just one day and join the ranks of skilled professionals who are making strides with the power of machine learning.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

Course Code: M454

Topic 1 - Introduction to Machine Learning

• What is Machine Learning 

• Machine Learning in Real life 

• Types of Machine Learning 

• Key ML Models

• Installing Weka

• Load Dataset to Weka

• Build Your First Classifier

Topic 2 - Classification

• What is Classification?

• K-Nearest Neighbours (KNN)

• Support Vector Machine (SVM)

• Naive Bayes

• Decision Tree (DT)

Topic 3 - Regression

• What is Regression?

• Linear Regression

• Support Vector Regression

• K-Nearest Neighbour Regression

Topic 4 - Ensemble Methods

• What is Ensemble Methods?

• Bagging

• Random Forest

• Stacking

Topic 5 - Clustering

• What is Clustering?

• K-Means Clustering

• Hierarchical Clustering

Topic 6 - Neural Network

• What is Neural Network?

• Multilayer Perceptron Classifier

Topic 7 - Problem Solving through Machine Learning

• Problem Definition

• Data Conceptualization

• Data Gathering

• Feature Engineering

• Algorithm Spot Check

• Fine Tuning Model

• Pitfalls