Python scikit-module

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K-Nearest Neighbors (KNN) Regression with Scikit-Learn

Last Updated: 17 June 2024

K-Nearest Neighbors (KNN) is one of the simplest and most intuitive machine learning algorithms. While it is commonly associated with classi...read more

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Sklearn Diabetes Dataset : Scikit-learn Toy Datasets in Python

Last Updated: 29 April 2024

The Sklearn Diabetes Dataset typically refers to a dataset included in the scikit-learn machine learning library, which is a synthetic datas...read more

Partial Least Squares Regression (PLSRegression) using Sklearn

Last Updated: 24 April 2025

Partial least square regression is a Machine learning Algorithm used for modelling the relationship between independent and dependent variab...read more

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Voting in Machine Learning

Last Updated: 08 January 2024

What is Sklearn?Scikit-learn also known as Sklearn is a machine-learning package for Python. The name Sklearn is derived from the SciPy Tool ...read more

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Isomap | A Non-linear Dimensionality Reduction Technique

Last Updated: 10 February 2025

Isomap (Isometric Mapping) is a powerful technique used in dimensionality reduction designed to preserve the essential structure of high-dim...read more

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Gaussian Naive Bayes using Sklearn

Last Updated: 24 April 2025

In the world of machine learning, Gaussian Naive Bayes is a simple yet powerful algorithm used for classification tasks. It belongs to the N...read more

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Affinity Propagation

Last Updated: 04 February 2025

Affinity Propagation is a clustering algorithm that is commonly used in Machine Learning and data analysis. Unlike other traditional cluster...read more

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Multi-layer Perceptron a Supervised Neural Network Model using Sklearn

Last Updated: 12 October 2023

An artificial neural network (ANN), often known as a neural network or simply a neural net, is a machine learning model that takes its cues ...read more

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Perceptron Algorithm for Classification using Sklearn

Last Updated: 11 October 2023

Assigning a label or category to an input based on its features is the fundamental task of classification in machine learning. One of the ea...read more

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Locally Linear Embedding in machine learning

Last Updated: 10 February 2025

LLE(Locally Linear Embedding) is an unsupervised approach designed to transform data from its original high-dimensional space into a lower-d...read more

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Recursive Feature Elimination with Cross-Validation in Scikit Learn

Last Updated: 26 April 2025

In this article, we will earn how to implement recursive feature elimination with cross-validation using scikit learn package in Python.What ...read more

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Multiclass Receiver Operating Characteristic (roc) in Scikit Learn

Last Updated: 26 April 2025

The ROC curve is used to measure the performance of classification models. It shows the relationship between the true positive rate and the ...read more

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Euclidean Distance using Scikit-Learn - Python

Last Updated: 26 April 2025

Scikit-Learn is the most powerful and useful library for machine learning in Python. It contains a lot of tools, that are helpful in machine...read more

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Create a Scatter Plot using Sepal length and Petal_width to Separate the Species Classes Using scikit-learn

Last Updated: 02 June 2022

In this article, we are going to see how to create Scatter Plot using Sepal length and Petal_width to Separate the Species classes using sci...read more

ML | Implement Face recognition using k-NN with scikit-learn

Last Updated: 15 March 2019

k-Nearest Neighbors:k-NN is one of the most basic classification algorithms in machine learning. It belongs to the supervised learning categ...read more

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