Naive Bayes Courses and Certifications

Introduction to Modeling Techniques for Text Classification

Master essential text classification techniques using Naive Bayes, SVM, Decision Trees, Random Forests, and Logistic Regression. Learn preprocessing, model tuning, and evaluation methods for effective NLP implementations.

• CodeSignal
• 6 hours
• On-Demand
• 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
• On-Demand
• Free Certificate

Natural Language Processing with Classification and Vector Spaces

4633 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
• On-Demand
• Paid Course

[2026] Machine Learning: Natural Language Processing (V2)

7213 ratings at Udemy

NLP: Use Markov Models, NLTK, Agentic AI, Artificial Intelligence, Machine Learning, and Data Science in Python

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

The Supervised Machine Learning Bootcamp

1418 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

Intro to Natural Language Processing (NLP) in Python for AI

1320 ratings at Udemy

Learn the NLP Technology Behind AI Tools Like ChatGPT: Understanding, Generating, and Classifying Human Language

• Udemy
• 3 hours 41 minutes
• On-Demand
• Paid Course

Introduction to AI for Cybersecurity

94 ratings at Coursera

Gain foundational knowledge of AI in cybersecurity, exploring techniques to enhance security, detect threats, and secure systems through hands-on implementations using tools like Jupyter Notebooks.

• Coursera
• 9 hours 55 minutes
• On-Demand
• Paid Course

Machine Learning Essentials - Master core ML concepts

770 ratings at Udemy

Kickstart Machine Learning, understand maths behind essential algorithms, implement them in python & build 8+ projects!

• Udemy
• 1 day 3 hours 57 minutes
• On-Demand
• Paid Course

Introduction to AI: Key Concepts and Applications

25 ratings at Coursera

Master essential AI foundations, from R.O.A.D framework to algorithm selection, data quality, and performance metrics. Gain practical insights for evaluating and implementing AI systems while balancing technical depth with strategic decision-making.

• Coursera
• 19 hours 58 minutes
• On-Demand
• Paid Course

Machine Learning & Data Science: The Complete Visual Guide

623 ratings at Udemy

Learn data science & machine learning topics with simple, step-by-step demos and user-friendly Excel models (NO code!)

• Udemy
• 8 hours 52 minutes
• On-Demand
• Paid Course

Machine Learning for Data Analysis: Classification Modeling

604 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

Natural Language Processing: NLP In Python with 2 Projects

390 ratings at Udemy

Learn NLP with Machine Learning Algorithms, Spacy, NLTK, TextBlob for Text Processing, Text Classification and Much More

• Udemy
• 2 hours 57 minutes
• On-Demand
• Paid Course

Serrano.Academy

Naive Bayes Classifier - A Friendly Approach

Visual explanation of Bayes' Theorem and Naive Bayes algorithm, applied to spam detection. Accessible approach requiring only basic math skills and a desire to learn.

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

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
• On-Demand
• Paid Course