Overfitting Vs Underfitting In Machine Learning
Автор: Perceptron
Загружено: 2026-01-06
Просмотров: 268
Overfitting and underfitting are two of the most common reasons why machine learning models fail.
In this video, I explain both concepts using real-life examples, simple graphs, and easy language.
You’ll also understand:
• What overfitting really means
• What underfitting looks like
• Why the bias–variance tradeoff matters
• How to think like a good ML engineer
Perfect for exams, interviews, and beginners in Machine Learning.
#machinelearning
#overfitting
#underfitting
#bias
#variance
#datascience
#aiexplained
#mlbasics
#examready
#interviewpreparation
#learnmachinelearning
#education
#educationalvideo
#shorts
#shortvideo
@MachineLearningStreetTalk @DeepLearning22 @krishnaik06 @CodeWithHarry @ApnaCollegeOfficial
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