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Gradient boosting function machine learning

Gradient Boosting – What You Need to Know

PROBABILITY SAMPLING: DEFINITION, METHODS AND EXAMPLES

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Deep learning model by SHAP

3 months agoMay 7, 2021

Machine Learning

Multicollinearity

With increasingly advanced machine learning and deep learning algorithms, you can solve almost any problem with proper datasets. However, as the complexity of the...

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Machine Learning

Chi Test

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Computer programming

Log Loss

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Machine Learning

Singular value decomposition

Principal component analysis and singular value decomposition are among the two common concepts of linear algebra in machine learning. After collecting raw data, is...

by Data Science Team 4 months agoApril 13, 2021

Machine Learning

Relu Activation Function

Activate function is an essential element for designing a neural network. Choosing the activation function will give you complete control over the network model’s...

by Data Science Team 4 months agoApril 13, 2021

Machine Learning

Confounding Variable

Confounding variable is a statistical term.The concept is a bit confusing for many people because of the method to use. For starters, different researchers...

by Data Science Team 4 months agoApril 13, 2021

Machine Learning

Confusion Matrix

The classification process helps with the categorization of the dataset into different classes. A machine learning model enables you to: Frame the problem, Collect...

by Data Science Team 4 months agoMarch 19, 2021

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Gradient Boosting – What You Need to Know

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Mathematics & statistics

PROBABILITY SAMPLING: DEFINITION, METHODS AND EXAMPLES

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Deep learning model by SHAP

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Empirical Rule Calculator

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Machine Learning

Feature Engineering

Every machine learning algorithm analyzes and processes input data and generates the outputs. The input data includes features in columns. These columns are structured...

by Data Science Team 4 months agoApril 20, 2021

Machine Learning

Power Analysis

A hypothesis test for statistical power will help detect the probability of an effect. You can only spot the true effect if available. With...

by Data Science Team 4 months agoApril 13, 2021

Computer programming

SMOTE

This article will discuss how SMOTE module helps increase underrepresented numbers in the dataset of a machine learning model. SMOTE is the best method...

by Data Science Team 4 months agoApril 13, 2021

Mathematics & statistics

Box Plot Review

A box plot or box and whisker plot help you display the database distribution on a five-number summary. The first quartile Q1 will be...

by Data Science Team 5 months agoApril 20, 2021

Machine Learning

Generative Adversarial Networks

In this article, you will learn about generative adversarial networks or GANs. Generative adversarial networks are the generative modeling approach for deep learning techniques....

by Data Science Team 5 months agoApril 20, 2021

Machine Learning

Transfer Learning

As the datasets increase drastically, we are developing skills to enhance the way we train deep neural networks. This helps data scientists map the...

by Data Science Team 5 months agoApril 20, 2021

Machine Learning

Federated Learning

As experts look into the future advancements that can benefit the world, they are emphasizing data privacy. As artificial intelligence is developing the ability...

by Data Science Team 5 months agoMarch 7, 2021