K-Nearest Neighbors Courses and Certifications

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
• 5 hours
• Self-Paced
• Free Certificate

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
• 3 hours
• Self-Paced
• Free Certificate

How to optimize with DSPy

Master DSPy optimization through few-shot learning, instruction tuning, and finetuning. Cover data splits, optimizers, and program saving/loading for iterative LM improvement.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Classification Algorithms and Metrics

Dive into classification algorithms by building Logistic Regression, k-NN, Naive Bayes, and Decision Trees from scratch without libraries, plus implement AUCROC metrics.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Career Certificate

Implementing AI Algorithms from Scratch in C++ (Part 1)

Master machine learning fundamentals by building regression, classification, and optimization algorithms from scratch in C++ without high-level libraries.

• CodeSignal
• 13 hours
• Self-Paced
• Free Certificate
• 3 courses

Career Certificate

Python Machine Learning

Master machine learning fundamentals through hands-on Python programming, covering regression, classification, decision trees, and ensemble methods to solve real-world data problems.

• VDCI
• 30 hours
• Self-Paced
• $1,895.00

Natural Language Processing with Classification and Vector Spaces

4638 ratings at Coursera

This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 9 hours 23 minutes
• Self-Paced
• Paid Course

Python Machine Learning Bootcamp (Live Online)

749 ratings at CourseHorse

Pick up the in-demand craft of machine learning and figure out how to design algorithms that pick up patterns and make decisions on their own through this hands-on bootcamp.

• CourseHorse
• Self-Paced
• $1,895.00

Python Machine Learning Bootcamp (Live Online)

686 ratings at CourseHorse

Build the practical abilities needed to tackle real-world problems through machine learning.

• CourseHorse
• Self-Paced
• $1,895.00

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 8 hours 14 minutes
• Self-Paced
• Paid Course

Machine Learning Algorithms with Python in Business Analytics

41 ratings at Coursera

Master machine learning algorithms in Python for business analytics, covering regression, classification, and clustering techniques to extract actionable insights from data.

• Coursera
• 16 hours 54 minutes
• Self-Paced
• Paid Course

Python Machine Learning Immersive (Live Online)

330 ratings at CourseHorse

Build the essential abilities to thrive in the fast-growing field of machine learning, including regression and classification algorithms, feature selection, and model evaluation.

• CourseHorse
• Self-Paced
• $1,895.00

Classification and Planned Experiments

Master classification techniques like K-nearest neighbor and logistic regression, plus experimental design principles for causal analysis using R and Python.

• Coursera
• 5 hours 47 minutes
• Self-Paced
• Paid Course

Data Science: Supervised Machine Learning in Python

3554 ratings at Udemy

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

• Udemy
• 6 hours 25 minutes
• Self-Paced
• Paid Course

Predictive Analytics Project Ideation

Master predictive analytics through hands-on project ideation, from basic ML models to advanced techniques, using design sprints to tackle real business challenges like customer churn prediction.

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