Pickl AI

AUGUST 8, 2024

Summary: Support Vector Machine (SVM) is a supervised Machine Learning algorithm used for classification and regression tasks. Among the many algorithms, the SVM algorithm in Machine Learning stands out for its accuracy and effectiveness in classification tasks. What is the SVM Algorithm in Machine Learning?

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines Algorithm 52

Towards AI

JULY 19, 2023

(Check out the previous post to get a primer on the terms used) Outline Dealing with Class Imbalance Choosing a Machine Learning model Measures of Performance Data Preparation Stratified k-fold Cross-Validation Model Building Consolidating Results 1. This is clearly an imbalanced dataset! among unsupervised models.

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40

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 52

Machine Learning Machine Learning Cross Validation Decision Trees 52

Mlearning.ai

FEBRUARY 15, 2023

Please do follow my page if you gained anything useful from the article. Prediction of Solar Irradiation Using Quantum Support Vector Machine Learning Algorithm. Submission Suggestions Text Classification in NLP using Cross Validation and BERT was originally published in MLearning.ai link] Ganaie, M.

Cross Validation 52

Cross Validation Decision Trees Natural Language Processing Algorithm 52

Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

DagsHub

JUNE 3, 2024

This can be done by training machine learning algorithms such as logistic regression, decision trees, random forests, and support vector machines on a dataset containing categorical outputs. For example, you might want to build a ML model that determines if an email is spam or not.

Machine Learning 52

Machine Learning Machine Learning Decision Trees ML 52

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. Another example can be the algorithm of a support vector machine. What are Support Vectors in SVM (Support Vector Machine)?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52