Classification

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Classification Analysis (Coursera) Coursera
University of Colorado Boulder

Classification Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into the 'Classification Analysis' course and unlock a deep understanding of how to classify data using various powerful algorithms. This comprehensive course on Coursera will guide you through key classifiers like K-Nearest Neighbors (KNN), Decision Trees, Support Vector Machines (SVM), Naive Bayes, and Logistic Regression. You'll gain practical experience by applying these techniques to actual datasets, enhancing your ability to perform data analysis effectively.

Oct 26th 2026
5-12 Weeks
Classification Logistic Regression Support Vector Machines
Details
Data Science Companion (Coursera) Coursera
MathWorks

Data Science Companion (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey into the world of Data Science with our beginner-friendly course. Gain a quick background in data science fundamentals and dive deep into regression, classification, and more. Master essential skills like data processing and visualization using user-friendly tools, and discover how to integrate various tools effectively for solving complex data science problems.

Oct 23rd 2026
4 Weeks
MATLAB Machine Learning Regression
Details
Machine Learning: Classification (Coursera) Coursera
University of Washington

Machine Learning: Classification (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of machine learning with 'Machine Learning: Classification' on Coursera. This course equips you with essential skills in building classification models, focusing on practical applications like analyzing sentiment and predicting loan defaults. Gain insights into financial data and text-based reviews to enhance your predictive modeling capabilities.

Oct 19th 2026
5-12 Weeks
Python Machine Learning Classification
Details
Machine Learning Foundations: A Case Study Approach (Coursera) Coursera
University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Statistics & Data Analysis Data Science

Discover how machine learning can transform your business by enrolling in 'Machine Learning Foundations: A Case Study Approach'. This hands-on course provides a thorough understanding of key machine learning concepts and techniques, equipping you with the skills to analyze data effectively and make informed decisions. Learn from real-world examples and apply what you've learned immediately.

Oct 19th 2026
5-12 Weeks
Python Machine Learning Clustering
Details
Deep Learning with Python and PyTorch (edX) EdX
IBM

Deep Learning with Python and PyTorch (edX)

Statistics & Data Analysis Data Science

Dive into the world of advanced deep learning with our expert-led course, 'Deep Learning with Python and PyTorch'. This course is designed to build upon your foundational knowledge in PyTorch, equipping you with the skills to construct sophisticated deep neural networks and train them using state-of-the-art methodologies. Whether you're a data scientist, machine learning enthusiast, or AI developer, this course will empower you to create and deploy complex models that can tackle real-world challenges.

Self Paced
Self-Paced
Python ML Machine Learning
Details
Natural Language Processing with Classification and Vector Spaces (Coursera) Coursera
DeepLearning.AI

Natural Language Processing with Classification and Vector Spaces (Coursera)

Data Science

Embark on a journey into the fascinating world of Natural Language Processing with this introductory course from Coursera's Natural Language Processing Specialization by deeplearning.ai. Gain expertise in performing sentiment analysis, understanding vector space models, reducing dimensionality with PCA, and creating basic translation algorithms using pre-computed word embeddings.

Oct 19th 2026
4 Weeks
Machine Learning Classification Logistic Regression
Details
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