Article, K-nearest Neighbors and Support Vector Machines

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K-nearest Neighbors

Support Vector Machines

Problem-solving tools offered by digital technology

Data Science Dojo

FEBRUARY 15, 2023

as described via the relevant Wikipedia article here: [link] ) and other factors, the digital age will keep producing hardware and software tools that are both wondrous, and/or overwhelming (e.g., For instance, in the table below, we juxtapose four authors’ professional opinions with DS-Dojo’s curriculum. IoT, Web 3.0,

K-nearest Neighbors

K-nearest Neighbors Decision Trees Support Vector Machines Algorithm

Eager Learning and Lazy Learning in Machine Learning: A Comprehensive Comparison

Pickl AI

JULY 31, 2023

Machine Learning has revolutionized various industries, from healthcare to finance, with its ability to uncover valuable insights from data. Among the different learning paradigms in Machine Learnin g, “Eager Learning” and “Lazy Learning” are two prominent approaches.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Algorithm

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How to Call Machine Learning Algorithms on R for Spatial Analysis.

Towards AI

JULY 15, 2024

Hopefully, this article will serve as a roadmap for leveraging the power of R, a versatile programming language, for spatial analysis, data science and visualization within GIS contexts. R, GIS and Machine learning I have written about the amazing wonders of R for GIS in my previous articles, but I will sum it up.

Machine Learning

Machine Learning Machine Learning Algorithm K-nearest Neighbors

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From Good to Great: Elevating Model Performance through Hyperparameter Tuning

Towards AI

JANUARY 26, 2024

This article will explain the concept of hyperparameter tuning and the different methods that are used to perform this tuning, and their implementation using python Photo by Denisse Leon on Unsplash Table of Content Model Parameters Vs Model Hyperparameters What is hyperparameter tuning? C can take any positive float value.

K-nearest Neighbors

K-nearest Neighbors Deep Learning Deep Learning Algorithm

How to Choose the Best Algorithm for Your Machine Learning Project

Mlearning.ai

APRIL 6, 2023

In this article, we will discuss some of the factors to consider while selecting a classification & Regression machine learning algorithm based on the characteristics of the data. For larger datasets, more complex algorithms such as Random Forest, Support Vector Machines (SVM), or Neural Networks may be more suitable.

Machine Learning

Machine Learning Machine Learning Algorithm Decision Trees

Machine learning world easy-to-understand overview for beginners

Mlearning.ai

FEBRUARY 17, 2023

Basically, Machine learning is a part of the Artificial intelligence field, which is mainly defined as a technic that gives the possibility to predict the future based on a massive amount of past known or unknown data. In this article, I will cover all of them. It’s a fantastic world, trust me!

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Clustering

An Overview of Extreme Multilabel Classification (XML/XMLC)

Towards AI

APRIL 14, 2023

The prediction is then done using a k-nearest neighbor method within the embedding space. Correctly predicting the tags of the questions is a very challenging problem as it involves the prediction of a large number of labels among several hundred thousand possible labels.

K-nearest Neighbors

K-nearest Neighbors Algorithm Clustering Support Vector Machines

Predicting Race from Twitter: Unveiling Insights with pyCaret and Machine Learning

Mlearning.ai

JULY 4, 2023

One such intriguing aspect is the potential to predict a user’s race based on their tweets, a task that merges the realms of Natural Language Processing (NLP), machine learning, and sociolinguistics. With the preprocessed data in hand, we can now employ pyCaret, a powerful machine learning library, to build our predictive models.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines

Predicting Heart Failure Survival with Machine Learning Models — Part II

Towards AI

JULY 19, 2023

Dealing with imbalanced data is pretty common in the real-world and these articles by German Lahera and on DataCamp are good places to learn about them. among supervised models and k-nearest neighbors, DBSCAN, etc., This is clearly an imbalanced dataset! among unsupervised models.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines

Bias and Variance in Machine Learning

Pickl AI

JULY 26, 2023

The concepts of bias and variance in Machine Learning are two crucial aspects in the realm of statistical modelling and machine learning. Understanding these concepts is paramount for any data scientist, machine learning engineer, or researcher striving to build robust and accurate models.

Machine Learning

Machine Learning Machine Learning Cross Validation Decision Trees

Everything you should know about AI models

Dataconomy

APRIL 4, 2023

Artificial intelligence (AI) is a broad term that encompasses the ability of computers and machines to perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and problem-solving. But first, let’s start from the bottom and better understand where we are now in the age of AI.

K-nearest Neighbors

K-nearest Neighbors Decision Trees AI AI

Everything you should know about AI models

Dataconomy

APRIL 4, 2023

K-nearest Neighbors

K-nearest Neighbors Decision Trees AI AI

Introduction to Feature Scaling in Machine Learning

Pickl AI

AUGUST 22, 2023

In this comprehensive article, we delve into the depths of feature scaling in Machine Learning, uncovering its importance, methods, and advantages while showcasing practical examples using Python. Understanding Feature Scaling in Machine Learning: Feature scaling stands out as a fundamental process.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines

8 of the Top Python Libraries You Should be Using in 2024

ODSC - Open Data Science

JANUARY 5, 2024

In this article, I will provide my top five reasons for using the Seaborn library to create data visualizations with Python. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels! Not a bad list right?

Python

Python K-nearest Neighbors Data Science Data Visualization

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. By understanding crucial concepts like Machine Learning, Data Mining, and Predictive Modelling, analysts can communicate effectively, collaborate with cross-functional teams, and make informed decisions that drive business success.

Data Analyst

Data Analyst Data Science Machine Learning Machine Learning

Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

FEBRUARY 15, 2023

K-Nearest Neighbou r: The k-Nearest Neighbor algorithm has a simple concept behind it. The method seeks the k nearest neighbours among the training documents to classify a new document and uses the categories of the k nearest neighbours to weight the category candidates [3].

Cross Validation

Cross Validation Decision Trees Natural Language Processing Algorithm

[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

MAY 23, 2023

In this article, we will explore some common data science interview questions that will help you prepare and increase your chances of success. The K-Nearest Neighbor Algorithm is a good example of an algorithm with low bias and high variance. Another example can be the algorithm of a support vector machine.

Data Science

Data Science Decision Trees Machine Learning Machine Learning

Data Science Current

Problem-solving tools offered by digital technology

Eager Learning and Lazy Learning in Machine Learning: A Comprehensive Comparison

Webinars

Trending Sources

How to Call Machine Learning Algorithms on R for Spatial Analysis.

Webinars

From Good to Great: Elevating Model Performance through Hyperparameter Tuning

How to Choose the Best Algorithm for Your Machine Learning Project

Machine learning world easy-to-understand overview for beginners

An Overview of Extreme Multilabel Classification (XML/XMLC)

Predicting Race from Twitter: Unveiling Insights with pyCaret and Machine Learning

Predicting Heart Failure Survival with Machine Learning Models — Part II

Bias and Variance in Machine Learning

Everything you should know about AI models

Everything you should know about AI models

Introduction to Feature Scaling in Machine Learning

8 of the Top Python Libraries You Should be Using in 2024

Basic Data Science Terms Every Data Analyst Should Know

Text Classification in NLP using Cross Validation and BERT

[Updated] 100+ Top Data Science Interview Questions

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