Naive Bayes Courses and Certifications

Data Science & Machine Learning: Naive Bayes in Python

729 ratings at Udemy

Master a crucial artificial intelligence algorithm and skyrocket your Python programming skills

• Udemy
• 7 hours 30 minutes
• Self-Paced
• Paid Course

Practical Machine Learning

27 ratings

Learn essential machine learning concepts and techniques, from data collection to model evaluation, with hands-on practice using popular algorithms and the caret package in R.

• Coursera
• 8-9 hours
• Self-Paced
• Paid Course

Coursera

Naive Bayes 101: Resume Selection with Machine Learning

17 ratings at Coursera

Build a Naïve Bayes Classifier to predict resume flagging, using 125 sample resumes. Learn to apply machine learning for efficient resume screening in recruitment processes.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

UofU Data Science

Machine Learning: Bayesian Learning and Naive Classifiers - Lecture 27

Master Bayesian learning concepts through practical examples like tennis prediction, exploring prior probability, model definitions, and naive classifiers for binary classification problems.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Supervised Learning in R: Classification

27 ratings at DataCamp

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

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

Bayesian Thinking

7 ratings at Corporate Finance Institute

Bayesian Thinking Course is for data professionals who want to apply an understanding of statistics to solve business problems

• Corporate Finance Institute
• 1 hour 27 minutes
• Self-Paced
• Paid Course

Data Science Dojo

Crash Course on Naive Bayes Classification

Comprehensive introduction to Naive Bayes classification, covering theory and practical applications through R coding examples, from probability basics to real-world predictive models.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Great Learning

Supervised Machine Learning Tutorial - Logistic Regression - Naive Bayes Classifier

Explore logistic regression and Naive Bayes classifiers for supervised machine learning. Learn their advantages, applications, and implementation in classification tasks for data-driven decision making.

• YouTube
• 2 hours 58 minutes
• Self-Paced
• Free Video

Great Learning

Logistic Regression and Naive Bayes in Machine Learning - Machine Learning Tutorial - Great Learning

Comprehensive tutorial on Logistic Regression and Naive Bayes, covering theory and practical applications in fraud detection and diabetes prediction. Includes machine learning basics and hands-on demos.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

EuroPython Conference

Building a Naive Bayes Text Classifier with scikit-learn

Learn to build a Naive Bayes text classifier using scikit-learn, exploring preprocessing techniques and feature extraction methods for effective spam detection in YouTube comments.

• YouTube
• 30 minutes
• Self-Paced
• Conference Talk

Credential

Implementing AI Algorithms from Scratch

67 ratings at CodeSignal

Master the fundamentals of AI by implementing algorithms from scratch - from regression and gradient descent to neural networks, covering classification, ensemble methods, and unsupervised learning techniques.

• CodeSignal
• Self-Paced
• Free Certificate
• 6 courses

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

Building and Evaluating Text Classifiers in Python

Master text classification techniques using Naive Bayes, logistic regression, and grid search optimization. Learn preprocessing, model training, cross-validation, and performance evaluation using Python and the SMS Spam dataset.

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

Credential

Introduction to Natural Language Processing

Dive into foundational NLP concepts, from text preprocessing to machine learning models, while mastering data exploration, vectorization techniques, and text classification using Python and real-world datasets.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 4 courses