K-Nearest Neighbors Courses and Certifications

IEEE

On the Robustness of Deep K-Nearest Neighbors

Explore the robustness of Deep k-Nearest Neighbors against adversarial attacks, proposing a heuristic method to find vulnerabilities in this defense mechanism for deep learning models.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Pascal Poupart

CS480-680 - K-Nearest Neighbours

Learn about k-nearest neighbours algorithm for classification and regression, including examples, machine learning concepts, and accuracy considerations.

• YouTube
• 1 hour 29 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

K-Nearest Neighbors Implementation in R

Implement K-Nearest Neighbors algorithm in R programming language. Learn practical application of this machine learning technique for classification and regression tasks.

• YouTube
• 29 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

K-Nearest Neighbors (KNN) Algorithm - Introduction and Applications

Explore k-Nearest Neighbors algorithm: concepts, applications, assumptions, implementation, and optimization techniques for effective machine learning.

• YouTube
• 26 minutes
• On-Demand
• Free Video

NPTEL;  IIT Kharagpur

Data Mining

25 reviews

Comprehensive exploration of data mining techniques, covering preprocessing, association rules, classification methods, and clustering algorithms for extracting valuable insights from datasets.

• YouTube
• 16 hours
• On-Demand
• Free Video

Python Machine Learning Bootcamp (Live Online)

Master machine learning fundamentals through hands-on Python programming, covering regression analysis, classification algorithms, and essential data science techniques for real-world problem-solving.

• Noble Desktop
• 30 hours
• On-Demand
• $1,895.00

Cracking Classification

Master essential classification algorithms including logistic regression, decision trees, KNN, Naive Bayes, and SVM. Learn to evaluate model performance and apply techniques to real-world datasets.

• CodeSignal
• On-Demand
• Free Certificate

Classification Algorithms and Metrics

Master classification algorithms by building Logistic Regression, k-NN, Naive Bayes, and Decision Trees from scratch. Implement metrics like AUCROC and confusion matrix while gaining hands-on experience with real-world applications.

• CodeSignal
• On-Demand
• Free Certificate

Data Visualization and Modeling in Python

Master data visualization and modeling techniques using matplotlib, KNN classification, and regression analysis to create impactful insights and professional-quality plots for real-world data science applications.

• Coursera
• 1 day 7 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning with Python

Comprehensive Python tutorial covering machine learning concepts, algorithms, and deep learning with TensorFlow. Includes hands-on projects and real-world applications.

• YouTube
• 19 hours
• On-Demand
• Free Video

Data Science: Supervised Machine Learning in Python

3348 ratings at Udemy

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn

• Udemy
• 6 hours 24 minutes
• On-Demand
• Paid Course

The Supervised Machine Learning Bootcamp

1248 ratings at Udemy

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

• Udemy
• 5 hours 49 minutes
• On-Demand
• Paid Course

Logistic Regression in Python

899 ratings at Udemy

Logistic regression in Python tutorial for beginners. You can do Predictive modeling using Python after this course.

• Udemy
• 7 hours 39 minutes
• On-Demand
• Paid Course

Machine Learning Classification Bootcamp in Python

887 ratings at Udemy

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

• Udemy
• 12 hours
• On-Demand
• Paid Course

Machine Learning for Data Analysis: Classification Modeling

498 ratings at Udemy

Machine Learning made simple with Excel! Classification for advanced data analysis & business intelligence (no coding!)

• Udemy
• 2 hours 31 minutes
• On-Demand
• Paid Course