Courses from 1000+ universities
Discover an easier way to explore affordable, credit-worthy online courses with our expanded community college catalog.
600 Free Google Certifications
Web Development
Python
Graphic Design
Astronomy: Exploring Time and Space
Inglés empresarial: ventas, gestión y liderazgo
AI and Big Data in Global Health Improvement
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Naive Bayes, earn certificates with free online courses from Stanford, Johns Hopkins, University of Edinburgh, CU Boulder and other top universities around the world. Read reviews to decide if a class is right for you.
NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python
Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn
Data Science, Python, sk learn, Decision Trees, Random Forests, KNNs, Ridge Lasso Regression, SVMs
Machine Learning made simple with Excel! Classification for advanced data analysis & business intelligence (no coding!)
Learn the NLP Technology Behind AI Tools Like ChatGPT: Understanding, Generating, and Classifying Human Language
Learn data science & machine learning topics with simple, step-by-step demos and user-friendly Excel models (NO code!)
Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.
Kickstart Machine Learning, understand maths behind essential algorithms, implement them in python & build 8+ projects!
Learn NLP with Machine Learning Algorithms, Spacy, NLTK, TextBlob for Text Processing, Text Classification and Much More
Beginner and advanced chatGPT use cases - hypothesis testing, supervised learning, Naive Bayes, ethics in AI
In this course you will learn the basics of machine learning for classification.
Learn the basics and principles of data and machine learning for scientific problems
Comprehensive introduction to machine learning concepts and TensorFlow implementation, covering classification, regression, neural networks, and unsupervised learning techniques for beginners.
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.
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.
Get personalized course recommendations, track subjects and courses with reminders, and more.