Linear Regression SIMPLIFIED!! | Ep 4: WHAT and WHY of Linear Regression in Hindi | Lets Decode AI
Welcome to Episode 4 of our essential Machine Learning Course! In Episode 3, we broke down Supervised Learning and understood the two main tasks: Classifica...
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About this video
Welcome to Episode 4 of our essential Machine Learning Course!
In Episode 3, we broke down Supervised Learning and understood the two main tasks: Classification and Regression. Now, we dive into our very first algorithm, the foundation of all regression models: Linear Regression.
This is a crucial lesson in our ongoing Machine Learning Course Series — designed to take you from a complete beginner to a confident practitioner. We make complex concepts like Linear Regression incredibly simple using Hindi + English.
▶️ In This Video (Your Fourth Lesson):
We unlock the "WHAT" and "WHY" of Linear Regression. Forget complex math! We use a simple "Pizza Price" example to show you how machines learn to predict numbers by fitting a straight line to data. You will understand the core goal of any regression model.
You will learn:
🔹 Linear Regression in Detail: The core concept of finding relationships in data.
🔹 The "Pizza" Analogy: A simple, real-world example to make the concept stick.
🔹 The Magic Equation (y = mx + c): We break down this simple school formula and show how it powers a machine learning model.
🔹 The Goal of Regression: Understanding what a "best fit line" is and how we measure error using the Cost Function (SSE).
🔹 Building the Foundation: This lesson prepares you for Episode 5, where we'll learn "HOW" the machine actually finds the best line!
💡 WHAT YOU WILL LEARN (In The Full Series):
By following this complete, step-by-step course, you will master:
✅ The Absolute Basics: Starting from scratch with the core concepts of ML.
✅ Types of ML: Understanding Supervised, Unsupervised, and Reinforcement Learning.
✅ How Algorithms Work: Diving deep into the mechanics of popular algorithms.
✅ Advanced Concepts: Moving to Artificial Neural Networks (ANNs) and Deep Learning (DNNs).
✅ Real-World Applications: Discovering how AI powers products like YouTube, Zomato, and Netflix.
✅ Practical Projects: Building industry-relevant projects to add to your portfolio.
➡️ START YOUR JOURNEY: https://www.youtube.com/playlist?list=PLBgbTUGs66L_9de6KSjdLr7L8MBY-IR26
👨💻 MEET YOUR INSTRUCTOR:
I’m Bhaskar Dev Goel, a professional Data Scientist with experience at several international enterprises. Through Lets Decode AI, I'm sharing my practical industry knowledge to help you build real-world ML skills and overcome the "imposter syndrome" that holds so many people back.
📚 THIS COURSE IS FOR YOU IF:
You are a complete beginner with no prior knowledge of ML.
You are a student or professional looking to upskill in AI.
You want to learn practical skills that companies are looking for.
You want a clear, step-by-step learning path.
🔔 STAY UPDATED | 100% FREE & ONGOING!
This course is completely free, and we'll be adding new videos regularly. Don't miss a single lecture! SUBSCRIBE to Lets Decode AI and turn on the bell icon 🔔 to get notified about every new video.
Have questions about AI, ML, or DL? Drop them in the comments below!
CONNECT WITH US:
► LinkedIn: https://www.linkedin.com/company/lets-decode-ai/
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#MachineLearningTypes #SupervisedLearning #UnsupervisedLearning #ReinforcementLearning #MLCourse #DataScienceForBeginners #LearnAI #MachineLearning #Hindi
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Published
Nov 2, 2025
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