Overfitting in Machine Learning | Python Tutorial | Machine Learning Tutorial | Edureka

Published: 23 December 2019
on channel: edureka!
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** Machine Learning Certification Training: https://www.edureka.co/machine-learni... **
This Edureka video on 'Overfitting In Machine Learning ' covers the concept of Overfitting in machine learning with various strategies and techniques to overcome, prevent or even detect overfitting in machine learning models. Following are the topics discussed in this Machine Learning Tutorial:

What is Overfitting In Machine Learning?
Examples Of Overfitting
Signal vs Noise
What is Underfitting?
How To Detect Overfitting?
How To Avoid Overfitting?
Goodness Of Fit
Bias-Variance Tradeoff

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About the Course

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Why learn Machine Learning Using Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning

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'Python' professionals who want to design automatic predictive models

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