K-Nearest Neighbors Courses and Certifications

Introduction to Machine Learning: Supervised Learning

34 ratings at Coursera

Explore supervised ML algorithms, prediction tasks, and model selection. Learn to improve performance using linear/logistic regression, KNN, decision trees, ensembling methods, and kernel techniques like SVM.

• Coursera
• 22 hours 48 minutes
• Self-Paced
• Paid Course

Classification Analysis

Explore key classification algorithms, their applications, and evaluation methods. Gain hands-on experience through tutorials and case studies to solve real-world data analysis problems.

• Coursera
• 1 day 14 hours 14 minutes
• Self-Paced
• Paid Course

Machine Learning Basics

93 ratings at Coursera

Explore fundamental machine learning concepts, including k-Nearest Neighbors, Linear Regression, and Logistic Regression. Gain practical skills for data analysis and predictive modeling.

• Coursera
• 14 hours 57 minutes
• Self-Paced
• Paid Course

The Supervised Machine Learning Bootcamp

1428 ratings at Udemy

Data Science, Python, sk learn, Decision Trees, Random Forests, KNNs, Ridge Lasso Regression, SVMs

• Udemy
• 5 hours 49 minutes
• Self-Paced
• Paid Course

Machine Learning for Cyber Threat & Anomaly Detection

Master ML techniques for cyber threat detection—build models to identify malware, detect fraud, and analyze network traffic using KNN, SVM, and neural networks on real cybersecurity datasets.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Career Certificate

AI-Powered Cybersecurity

Master AI-powered cybersecurity by building ML models to detect threats, defend against adversarial attacks, and execute structured incident response with operational confidence.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Fractal Analytics

Foundations of Machine Learning

14 ratings at Coursera

Demystify machine learning fundamentals, build models, analyze data, and apply strategies to real-world scenarios. Gain practical skills for data-driven decision-making and problem-solving.

• Coursera
• 1 day 1 hour 5 minutes
• Self-Paced
• Paid Course

Machine Learning Classification Bootcamp in Python

1059 ratings at Udemy

Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn

• Udemy
• 11 hours 44 minutes
• Self-Paced
• Paid Course

Packt

Python Fundamentals and Data Science Essentials

Master Python fundamentals and essential data science skills. Learn data analysis with NumPy and Pandas, explore machine learning concepts, and apply knowledge through practical case studies.

• Coursera
• 16 hours 24 minutes
• Self-Paced
• Paid Course

Predictive Analytics

Discover how to transform enterprise data into actionable business intelligence using decision trees, neural networks, market basket analysis, and discriminant analysis tools.

• Coursera
• 2 days 7 hours 46 minutes
• Self-Paced
• Paid Course

Predictive Analytics and Forecasting

Master predictive analytics tools including regression, classification, clustering, and forecasting to make data-driven business decisions and uncover customer behavior patterns.

• Coursera
• 2 days 15 hours 37 minutes
• Self-Paced
• Paid Course

Corporate Finance Institute

Classification - Fundamentals & Practical Applications

Master classification algorithms from logistic regression to SVM, implementing them in Excel and Python while learning to evaluate model performance and interpret results for business decision-making.

• Coursera
• 2 hours 58 minutes
• Self-Paced
• Paid Course

Maven Analytics

Complete Visual Guide to Machine Learning

Gain insights into machine learning fundamentals through visual examples and Excel-based models, covering classification, regression, forecasting, and unsupervised learning techniques - no coding required.

• Coursera
• 15 hours 3 minutes
• Self-Paced
• Paid Course

Packt

Vector Databases Deep Dive

Dive into vector databases, understanding their principles, applications, and how they differ from traditional databases. Master essential concepts like embeddings, distance metrics, and indexing techniques for efficient data retrieval.

• Coursera
• 5 hours 2 minutes
• Self-Paced
• Paid Course

Whizlabs

AWS: Model Training , Optimization & Deployment

Master AWS machine learning workflows through SageMaker algorithms, hyperparameter tuning, and scalable deployment strategies for the MLA-C01 certification exam.

• Coursera
• 8 hours 37 minutes
• Self-Paced
• Paid Course