Overfitting And Underfitting Explained in hindi |day 6 of understanding ML #machinelearning #python

Ever noticed that sometimes a model looks perfect, but still fails?

In this video, I explain Overfitting and Underfitting using a simple exam example — explained in Hindi / Hinglish so anyone can understand it easily.

In Machine Learning, models don’t fail only because of bad data.
Sometimes they fail because they learn too much, or too little.

• Overfitting: when a model memorizes instead of learning
• Underfitting: when a model doesn’t learn enough patterns

This video focuses on understanding the idea intuitively — no graphs, no formulas, just clarity.

This is Day 6 of “Understanding ML”, where I break down Machine Learning concepts in a simple and practical way.

📌 Language: Hindi / Hinglish
📌 Topic: Overfitting & Underfitting
📌 Goal: Learning the right balance

If this explanation made sense, drop a 👍 and follow for the next concept.
#MachineLearning
#Overfitting
#Underfitting
#UnderstandingML
#MLinHindi
@campusx-official @CodeWithHarry @gilesmcmullen

Видео Overfitting And Underfitting Explained in hindi |day 6 of understanding ML #machinelearning #python канала ML Essentials