Dataconomy

MARCH 4, 2025

It’s an integral part of data analytics and plays a crucial role in data science. Data analysis and interpretation After mining, the results are utilized for analytical modeling. Classification Classification techniques, including decision trees, categorize data into predefined classes.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. In this blog, we will explore the details of both approaches and navigate through their differences. What is Generative AI?

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Pickl AI

APRIL 13, 2025

Summary: Classifier in Machine Learning involves categorizing data into predefined classes using algorithms like Logistic Regression and Decision Trees. It’s crucial for applications like spam detection, disease diagnosis, and customer segmentation, improving decision-making and operational efficiency across various sectors.

Machine Learning 52

Machine Learning Machine Learning Decision Trees K-nearest Neighbors 52

Pickl AI

JANUARY 21, 2025

Key examples include Linear Regression for predicting prices, Logistic Regression for classification tasks, and Decision Trees for decision-making. Decision Trees visualize decision-making processes for better understanding. Algorithms like k-NN classify data based on proximity to other points.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Towards AI

JULY 15, 2024

We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code. I wrote about Python ML here. Join thousands of data leaders on the AI newsletter.

Machine Learning 116

Machine Learning Machine Learning Algorithm K-nearest Neighbors 116

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? Often, these trees adhere to an elementary if/then structure.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? Often, these trees adhere to an elementary if/then structure.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91