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Machine Learning for Beginners: Complete Guide A-Z
Learn machine learning concepts, AI basics & algorithms (no coding)
5.0118 reviews250 learners
- All Levels
- 3h 3m video
- 31 lectures
- English
- Captions
- Updated 2026
Taught by Nexa Learning
- 3h 3m of on-demand video
- 31 lectures across 9 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
9 sections31 lectures3h 3m total
- Introduction to machine learning course4:26
- What is Machine Learning?6:03
- Traditional Programming vs. Machine Learning Approach6:08
- Types of Machine Learning5:38
- Core Components of a Machine Learning System6:01
- Understanding Data in Machine Learning6:26
- Data Preprocessing Concepts6:16
- Feature Engineering and Feature Selection5:35
- Introduction to Supervised Learning5:26
- Regression Algorithms (Concepts Only)5:42
- Classification Algorithms (Concepts Only)6:28
- Evaluating Supervised Models5:22
- Introduction to Unsupervised Learning5:44
- Clustering Techniques6:33
- Dimensionality Reduction6:13
- Introduction to Reinforcement Learning6:34
- Core Concepts in RL5:16
- Popular RL Algorithms (Conceptual)6:22
- Train, Validation, and Test Splits5:10
- Cross-Validation Concept6:07
- Model Optimization and Hyperparameter Tuning6:13
- Bias and Variance Revisited5:21
About this course
This course gives you a clear and simple understanding of how Machine Learning works, explained in a way that anyone can follow. It takes you from the basic ideas all the way to more advanced concepts like deep learning and project workflows, but everything is kept easy to understand. You don’t need coding, heavy math, or technical experience. The focus is on building strong intuition, so when you later move to coding or advanced topics, you already know what you’re doing and why. You start with the fundamentals o…
Before you start
- No prior experience needed; just basic computer use and an interest in understanding Machine Learning concepts.
Who it’s for
- Anyone who wants to understand Machine Learning concepts without coding.
- Students who want a strong conceptual foundation before learning practical ML.
- Beginners who feel overwhelmed by technical terms and want a simple explanation-based approach.
- Professionals from any field who want to understand how ML works at a high level.
- Business or management professionals who want to understand ML terms used in the industry.
- Data enthusiasts who want structured guidance to start their ML journey.
- Creators and freelancers who want to add ML knowledge to their profile.
- People preparing for ML-related interviews and want concept clarity.
- Anyone who tried ML tutorials before but got confused due to maths or heavy coding.
- Anyone curious about how ML, Deep Learning, and AI work behind the scenes.
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