Machine Learning For Absolute Beginners - No Coding Required

Learn machine learning without coding. Covers AI, deep learning, ML types, real-world use, and ethics.

What you'll learn

Define artificial intelligence, machine learning, and deep learning.

Differentiate machine learning from traditional programming.

Identify key types of machine learning and their applications.

Explain how models learn from data and why data quality matters.

Discuss algorithm types, ethical concerns, and AI categories.

Requirements

internet connection

Description

Most people hear the term machine learning and immediately assume it’s reserved for data scientists, mathematicians, or coders who speak Python like their first language. That couldn’t be further from the truth.This course was built for absolute beginners — the ones who are curious about AI, confused about machine learning, or intimidated by all the buzzwords flying around. If you've ever asked, “How do machines actually learn?”, this course was made for you.In here, we don’t write code. We understand concepts. You’ll learn the foundations of artificial intelligence, machine learning, and deep learning — not just what they are, but how they connect. You'll explore the different types of machine learning (supervised, unsupervised, reinforcement), and learn how they show up in your daily life through apps like Netflix, TikTok, Google, and Instagram.Every topic in this course is carefully chosen. I didn’t just throw random slides together. Every analogy, every real-world example, every concept is here to help you grasp ML clearly, confidently, and permanently. I use relatable language, practical explanations, and sometimes just plain storytelling — because machine learning isn’t about sounding smart, it’s about making sense.If you're the type who prefers to read along, good news — I also script the text and place it on screen, so you can mute me and still follow along without missing a thing.By the end of this course, you won’t just “know” what machine learning is — you’ll understand it, and you’ll be able to talk about it like someone who actually gets it.If you’re tired of tutorials that assume too much and explain too little — welcome. This course is for you.Enroll now and start your journey into one of the most powerful technologies of our time.

Overview

Section 1: Machine Learning for Absolute Beginners

Lecture 1 What is Machine Learning?

Lecture 2 What is Artificial Intelligence?

Lecture 3 What is Deep Learning?

Section 2: How Machines Learn

Lecture 4 How Machines Learn in Real Life

Lecture 5 Teaching a Machine Model

Lecture 6 Social Media Algorithms

Section 3: Types of Machine Learning

Lecture 7 what is Supervised Learning?

Lecture 8 Classification

Lecture 9 Regression in Supervised Learning

Lecture 10 What is Unsupervised Learning?

Lecture 11 Dimensionality Reduction

Lecture 12 Association Rule Learning

Lecture 13 What is Reinforcement Learning?

Lecture 14 Types of Reinforcement Learning

Section 4: Ethical Issues in ML

Lecture 15 Ethics in Machine Learning

Lecture 16 Ethical Concerns in Machine Learning

Lecture 17 Where Does ML Bias Come From?

Section 5: Natural Language Processing

Lecture 18 What is Natural Language Processing?

Lecture 19 Key NLP Tasks

Lecture 20 History of NLP

Lecture 21 Deep Learning in NLP

Section 6: Computer Vision

Lecture 22 Computer Vision

Lecture 23 How Computer Vision Works

Absolute machine learning beginners,Any one looking to switch career to tech,Students,Non-tech professionals,Curious beginners with zero coding background