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Outliers and Noisy Data

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Outliers and Noisy Data

Data Science Outliers and Noisy Data

Outliers and Noisy Data

In this class, We discuss Outliers and Noisy Data.

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Data Preprocessing Code Amazon Data Set

Outliers and Noisy Data

Training Loss and Testing Loss

Overfitting Models with an Example

Underfitting Models with an Example

Types of Supervised Learning Algorithms with an Example

Calculating Accuracy in Classification

Calculating Accuracy in Regression RMSE

K Fold Cross Validation Understanding with an Example

Problem with Imbalanced Data

Confusion Matrix for Binary Classification

ROC Curve for Binary Classification

Intuition on Naive Bayes Classification in Machine Learning

Mathematics Basics Required for Naive Bayes

Understanding Naive Bayes Classification Algorithm Mathematics

Laplace Smoothing in Naive Bayes

Hyperparameter Underfitting and Overfitting in Naive Bayes

Log Probability Imbalanced Data Numerical Features in Naive Bayes

Multinomial Naive Bayes Code on Amazon Data set

Gaussian Naive Bayes Code on Cardio Data set

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