Classification Algorithms 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

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

MathWorks

Predictive Modeling and Machine Learning with MATLAB

89 ratings

Learn to build, evaluate, and optimize regression and classification models using MATLAB. Apply supervised machine learning workflows to real-world datasets and improve model performance through feature selection and hyperparameter tuning.

• Coursera
• 18 hours 52 minutes
• Self-Paced
• Paid Course

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

Great Learning

Classification Algorithm Tutorial - Machine Learning Tutorial

Comprehensive tutorial on classification algorithms in machine learning, covering techniques for categorizing new observations based on training data. Explores supervised learning methods and practical applications.

• YouTube
• 9 hours 40 minutes
• Self-Paced
• Free Video

Weights & Biases

Label Factory - LLMs for Training Small Language Classification Models at Scale

Discover how to create small, multimodal classifiers using LLMs for content moderation at scale, achieving 90%+ accuracy without human annotation through knowledge distillation.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning with caret in R

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Introduction to Deep Learning with Keras

Learn to start developing deep learning models with Keras.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Model Validation in Python

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Practicing Statistics Interview Questions in Python

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning in the Tidyverse

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

• DataCamp
• 5 hours
• Self-Paced
• Free Trial Available

Support Vector Machines in R

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Career Certificate

Python Machine Learning Course Online (Self-Paced)

Master the fundamentals of machine learning with Python, from regression analysis to classification algorithms, and gain practical skills to solve real-world problems using data science libraries.

• Noble Desktop
• Self-Paced
• $1,895.00

Great Learning

Application of Classification Algorithms

Explore popular classification algorithms, their comparisons, and real-world applications through a case study on employee promotion prediction using various techniques.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video