Naive Bayes Courses and Certifications

Practical Machine Learning

27 reviews

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
• On-Demand
• Free Online Course (Audit)

Bayesian Networks 3 - Maximum Likelihood - Stanford CS221: AI (Autumn 2019)

Explore maximum likelihood estimation in Bayesian networks, covering parameter learning, probabilistic inference, and advanced concepts like regularization and Expectation Maximization.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Online Course

Introduction to AI for Cybersecurity

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 56 minutes
• On-Demand
• Free Online Course (Audit)

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 13 minutes
• On-Demand
• Free Online Course (Audit)

Natural Language Processing with Classification and Vector Spaces

4425 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
• Free Online Course (Audit)

Natural Language Processing: Foundations

1 review

Learn the foundations of how computers understand processing and produce human languages – Natural Language Processing (NLP), a science at the intersection of computer science, artificial intelligence and linguistics.

• edX
• 4 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Machine Learning: Natural Language Processing in Python (V2)

5419 ratings at Udemy

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

• Udemy
• 22 hours 44 minutes
• On-Demand
• Paid Course

Data Science: Supervised Machine Learning in Python

3342 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

Microcredential

Classical Machine Learning for Financial Engineering

Learn a systemic approach to utilizing classical machine learning models and techniques to gain insights from data sets, and master the tools used in this task.

• edX
• 7 weeks, 4-6 hours a week
• On-Demand
• Paid Course

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

• Coursera
• 15 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

Natural Language Processing: NLP In Python with 2 Projects

385 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

Kaggle;  Amazon Web Services;  Amazon Microcredential

Introduction to Machine Learning with TensorFlow

5 reviews

Learn supervised and unsupervised machine learning techniques using TensorFlow and Python. Master regression, neural networks, clustering, and more to solve real-world problems and build an image classifier.

• Udacity
• 2 months 1 week 5 days 12 hours 43 minutes
• On-Demand
• Paid Course

Machine Learning for Everybody – Full Course

1 review

Comprehensive introduction to machine learning concepts and TensorFlow implementation, covering classification, regression, neural networks, and unsupervised learning techniques for beginners.

• freeCodeCamp
• 3-4 hours
• On-Demand
• Free Video

Building Sentiment Analysis Systems in Python

71 ratings at Pluralsight

Sentiment Analysis has become increasingly important as more opinions are expressed online, in unstructured form. This course covers rule-based and ML-based approaches to extracting sentiment from opinions, including VADER, Sentiwordnet, and more.

• Pluralsight
• 2 hours 32 minutes
• On-Demand
• Free Trial Available

Data Science for Java Developers

52 ratings at LinkedIn Learning

Learn how to turn data into information, using one of the world's most popular programming languages.

• LinkedIn Learning
• 3 hours 51 minutes
• On-Demand
• Free Trial Available