Classification Courses and Certifications

Introduction to Machine Learning with Scikit-Learn

273 ratings at Udemy

Learn the three main techniques of machine learning: regression, classification and clustering, using Scikit-Learn

• Udemy
• 2 hours 32 minutes
• On-Demand
• Paid Course

Advanced Machine Learning and Deep Learning Projects

250 ratings at Udemy

Text Embedding, Clustering, Classification | Image Clustering, Classification, Text to Image Search

• Udemy
• 5 hours 21 minutes
• On-Demand
• Paid Course

CART - Classification and Regression Trees

Explore decision and regression trees, from basic concepts to advanced techniques like feature selection, missing data handling, and pruning. Includes practical Python implementation.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

StatQuest with Josh Starmer

Classification Trees in Python from Start to Finish

Comprehensive guide to building and optimizing classification trees in Python, covering data preparation, model construction, pruning techniques, and visualization.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

MedNerd - Dr. Waqas Fazal

Asthma Treatment and Management Guidelines: Symptoms, Classification, Types, and Medicine - USMLE Lecture

Explore comprehensive asthma management, from symptoms and classification to latest treatment guidelines. Learn diagnostic tests, medication options, and follow-up strategies for effective care.

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

Strong Medicine

Mechanisms and Classification of Antibiotics

Comprehensive overview of antibiotic mechanisms and classifications, focusing on major drug families and their effects on bacteria. Includes historical context and practical applications.

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

Strong Medicine

Classification of Bacteria - Antibiotics Lecture 1

Learn how to classify bacteria using morphology, gram stain, and other tests, creating a practical scheme for clinical use. Explore bacterial naming, important tests, and shorthand for efficient identification.

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

Krish Naik

Performance Metrics for Classification Problem in Machine Learning - Part 1

Learn key performance metrics for binary classification in machine learning, including recall and precision, to effectively evaluate model performance and make informed decisions.

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

PLAY Chemistry

Periodic Classification of Elements - Class 11th, JEE Mains, Advanced, NEET

Discover periodic trends, atomic properties, and electronic configurations through animated explanations covering Mendeleev's table to modern classification for JEE/NEET prep.

• YouTube
• 3 hours 10 minutes
• On-Demand
• Free Video

Python Tutorials for Digital Humanities

Topic Modeling and Text Classification with Python for Digital Humanities

Discover topic modeling and text classification techniques using Python libraries like Scikit-Learn, Gensim, and spaCy for digital humanities research and analysis.

• YouTube
• 3 hours 58 minutes
• On-Demand
• Free Video

HuggingFace

Hugging Face Course - Fast Tokenizers and Token Classification Pipelines - Chapter 6

Explore fast tokenizers, token classification, question answering pipelines, and build custom tokenizers using BPE, WordPiece, and Unigram methods.

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

XAI: Explainable AI

238 ratings at Udemy

How to explain your machine learning models in Python

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

Data Mining and Knowledge Discovery

8 ratings at edX

Learn how to discover knowledge in data via data mining.

• edX
• 8 weeks, 6-10 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Analysis with Python

29 ratings at Coursera

Comprehensive overview of data analysis techniques using Python, covering classification, regression, clustering, and more. Includes hands-on examples and a final project.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

Microcredential

Statistical Learning for Data Science

20 ratings at Coursera

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 16 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses