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ML Algorithms

13 posts

Feature Selection Techniques in Machine Learning

Last Updated: 14 May 2025

In data science many times we encounter vast of features present in a dataset. But it is not necessary all features contribute equally in prediction that's where feature s...read more

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Technical Scripter

Machine Learning

Technical Scripter 2020

Regression Tree with Simulated Data - rpart package

Last Updated: 19 April 2025

Regression trees are a type of decision tree used to predict continuous values. They work by splitting the data into smaller groups based on the input features, and then p...read more

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R Machine Learning

AI-ML-DS With R

Machine Learning Algorithms

Last Updated: 21 April 2025

Machine learning algorithms are essentially sets of instructions that allow computers to learn from data, make predictions, and improve their performance over time without...read more

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Machine Learning

AI-ML-DS With Python

Classifying data using Support Vector Machines(SVMs) in Python

Last Updated: 01 September 2023

Introduction to SVMs: In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms ...read more

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Machine Learning

AI-ML-DS With Python

Multiple linear regression analysis of Boston Housing Dataset using R

Last Updated: 28 April 2025

In this article, we are going to perform multiple linear regression analyses on the Boston Housing dataset using the R programming language.What is Multiple Linear Regress...read more

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R Machine Learning

Geeks Premier League 2023

AI-ML-DS With R

Sklearn | Iterative Dichotomiser 3 (ID3) Algorithms

Last Updated: 22 May 2024

The ID3 algorithm is a popular decision tree algorithm used in machine learning. It aims to build a decision tree by iteratively selecting the best attribute to split the ...read more

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Machine Learning

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Python scikit-module

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Random Forest for Time Series Forecasting using R

Last Updated: 28 April 2025

Random Forest is an ensemble machine learning method that can be used for time series forecasting. It is based on decision trees and combines multiple decision trees to ma...read more

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Machine Learning

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Geeks Premier League 2023

AI-ML-DS With R

kNN: k-Nearest Neighbour Algorithm in R From Scratch

Last Updated: 28 April 2025

In this article, we are going to discuss what is KNN algorithm, how it is coded in R Programming Language, its application, advantages and disadvantages of the KNN algorit...read more

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R Machine-Learning

R Machine Learning

Geeks Premier League 2023

AI-ML-DS With R

Bayes Theorem in Machine learning

Last Updated: 23 July 2024

Bayes' theorem is fundamental in machine learning, especially in the context of Bayesian inference. It provides a way to update our beliefs about a hypothesis based on new...read more

Machine Learning

How to Choose the Best Kernel Function for SVMs

Last Updated: 23 February 2024

Support Vector Machines (SVMs) are powerful supervised learning models that can be used for classification, regression, and outlier detection tasks.What are kernels in SVM...read more

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Machine Learning

AI-ML-DS With Python

Rule Engine vs Machine Learning?

Last Updated: 21 February 2024

Answer: Rule engines use predefined logic to make decisions, while machine learning algorithms learn from data to make predictions or decisions.Rule engines and machine le...read more

Machine Learning

Difference Between Random Forest and XGBoost

Last Updated: 15 April 2024

Random Forest and XGBoost are both powerful machine learning algorithms widely used for classification and regression tasks. While they share some similarities in their en...read more

Machine Learning

Decision Trees vs Clustering Algorithms vs Linear Regression

Last Updated: 15 April 2024

In machine learning, Decision Trees, Clustering Algorithms, and Linear Regression stand as pillars of data analysis and prediction. Decision Trees create structured pathwa...read more

Machine Learning