Unbalanced Classes

A brief discussion on

What do you do when your data has lots more negative examples than positive ones? Link to Code ...

This video covers 4 popular methods by which

Credit card fraud detection, cancer prediction, customer churn prediction are some of the examples where you might get an ...

In this video, we cover how to handle

Imbalanced

In scikit-learn, a lot of classifiers comes with a built-in method of handling

In this video, you will be learning about how you can handle

Imbalanced

Github link: https://github.com/krishnaik06/Handle-

imbalanced and balanced, balanced and imbalanced data, balanced and

In this video we discuss how to deal with

... solving class imbalance problems.

Controlling

In this video, we'll explore the concept of

Machine Learning algorithms tend to produce unsatisfactory classifiers when faced with

Enroll for Intellipaat's Data Science Course: https://intellipaat.com/data-scientist-course-training/ ...

Here we discuss the issues when applying Random Forests and AdaBoost data analysis methods to infrared spectroscopy data ...

synthetic minority oversampling technique, class imbalance, SMOT, SMOT for