Classification Algorithms Courses and Certifications

Introduction to Industrial Image Processing

The MOOC teaches the basics of industrial image processing - the hardware components, common algorithms and applications.

• edX
• 5 weeks, 3-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Edureka

Predictive Modeling with Python

Master statistical analysis and machine learning in Python through hands-on practice with real-world data, from probability distributions to predictive modeling and model optimization.

• Coursera
• 16 hours 45 minutes
• Self-Paced
• Paid Course

Credential

Accounting Data Analytics

Develop an analytics mindset and master data analytics tools in accounting, from Excel to Python, covering visualization, analysis, and machine learning applications.

• Coursera
• 30 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses

End to End Data Science Practicum with Knime

801 ratings at Udemy

Applied Data Science Concepts and Techniques with Knime and hands on examples

• Udemy
• 9 hours 13 minutes
• Self-Paced
• Paid Course

Simons Institute

Quantum Algorithms for Classification

Explore quantum algorithms for data classification, focusing on their potential to revolutionize machine learning and tackle complex computational challenges.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

The Complete Healthcare Artificial Intelligence Course 2024

304 ratings at Udemy

Creating powerful AI model for Real-World Healthcare applications with Data Science, Machine Learning and Deep Learning

• Udemy
• 1 day 5 hours 34 minutes
• Self-Paced
• Paid Course

Machine Learning: Logistic Regression

269 ratings at Codecademy

Predict probabilities of class membership using Logistic Regression. Implement, evaluate, and interpret models for classification tasks like disease identification and customer conversion.

• Codecademy
• 3 hours
• Self-Paced
• Free Trial Available

Machine Learning In The Cloud With Azure Machine Learning

252 ratings at Udemy

Introduction to machine learning in the cloud with Azure Machine Learning.

• Udemy
• 3 hours 1 minute
• Self-Paced
• Paid Course

Machine Learning Using Python Programming

Master Python-based machine learning techniques from data preprocessing to deep learning, covering regression, classification, clustering, and neural networks with practical implementations.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Great Learning

Machine Learning Concepts - Comprehensive Tutorial Series

Discover essential machine learning algorithms, from linear regression to neural networks, with hands-on Python implementation and real-world applications.

• YouTube
• 1 day 14 hours 35 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Logistic Regression: Introduction to Binary Classification and Linear Classifiers

Master logistic regression for binary classification, covering linear classifiers, sigmoid functions, parameter estimation, and log-likelihood functions.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

K-Nearest Neighbors Implementation in R

Implement K-Nearest Neighbors algorithm in R programming language. Learn practical application of this machine learning technique for classification and regression tasks.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Introducción a la Minería de Datos

1323 ratings at Coursera

Aprende conceptos y algoritmos de Minería de Datos, explorando bases reales y desarrollando habilidades básicas de un científico de datos para abrir puertas al futuro profesional.

• Coursera
• 3 days 6 hours 6 minutes
• Self-Paced
• Paid Course

USENIX

VFP - A Virtual Switch Platform for Host SDN in the Public Cloud

Explore Microsoft Azure's Virtual Filtering Platform (VFP), a programmable virtual switch for host SDN in public clouds. Learn its design, API, flow language, and real-world performance in large-scale deployments.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk

5 Minutes Engineering

Machine Learning and Neural Networks: Logistic Regression - Day 6

Explore logistic regression in machine learning and neural networks, covering key concepts and applications for binary classification problems.

• YouTube
• 35 minutes
• Self-Paced
• Free Video