Overview
Understand the fundamentals of machine learning and its real-world applications, Learn key ML concepts such as features, labels, training, and evaluation, Explore supervised and unsupervised learning techniques, Build and train machine learning models step by step, Evaluate model performance using common metrics, Work with real-world datasets to gain practical experience, Understand common challenges and best practices in machine learning
Beginners who want to learn machine learning from scratch, Students interested in data science or artificial intelligence, Professionals curious about how intelligent systems are built, Developers looking to add machine learning skills to their toolkit
Basic programming knowledge is helpful but not required, No prior machine learning experience needed
Machine Learning is one of the most in-demand skills in today’s tech industry. From recommendation systems and fraud detection to image recognition and predictive analytics, machine learning powers many of the intelligent systems we use every day.
Machine Learning Essentials: Build Intelligent Models is designed to give you a strong, practical foundation in machine learning. This course focuses on understanding core concepts and applying them through hands-on model building, rather than just theory.
You’ll start by learning how machine learning works, why it’s used, and where it fits within the broader field of data science and artificial intelligence. As the course progresses, you’ll build, train, and evaluate machine learning models using real datasets, helping you gain confidence in applying ML techniques to real-world problems.
Whether you’re a student, developer, or professional looking to upskill, this course will help you understand machine learning clearly and practically.
Skills You’ll Gain
Ability to build and evaluate intelligent machine learning models
Strong understanding of core ML terminology and workflows
Practical experience applying machine learning concepts
Confidence to continue into advanced ML or AI topics
Why Take This Course?
Clear, beginner friendly explanations
Hands-on learning with practical examples
Focus on building real, intelligent models
Solid foundation for advanced machine learning topics
By the end of this course, you’ll have a clear understanding of machine learning essentials and the ability to build intelligent models with confidence.
Muhammad Riaz Uddin
Hi, I’m Muhammad Riaz Uddin
I have 6 years of experience working in Artificial Intelligence, Data Analysis, Web Development, and Web Design. Over the years, I’ve worked on real-world projects that blend problem-solving, creativity, and practical implementation.
My teaching style focuses on simplifying complex concepts and explaining them in a way that’s easy to understand, even for complete beginners. I believe the best way to learn is by doing, so my courses emphasize practical examples, step-by-step guidance, and real-world projects.
On Udemy, my goal is to help students build strong technical foundations, gain confidence in their skills, and apply what they learn to real scenarios—whether they’re just starting out or looking to level up their expertise.
Let’s learn, build, and grow together