ROC Curve Courses and Certifications

Signal Detection and ROC Curves - Optimizing Medical Software Decisions - 9.5

Master signal detection theory and ROC curves to optimize medical software decisions, balancing sensitivity and specificity in critical healthcare applications.

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

Machine Learning with Tree-Based Models in R

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Classification Algorithms and Metrics

Master classification algorithms by building Logistic Regression, k-NN, Naive Bayes, and Decision Trees from scratch. Implement metrics like AUCROC and confusion matrix while gaining hands-on experience with real-world applications.

• CodeSignal
• 5 hours
• On-Demand
• Free Certificate

Deep Dive into Regression and Classification Metrics

Master essential machine learning metrics for evaluating regression and classification models, from basic error measurements to advanced ROC curves and confusion matrices.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Probability for Machine Learning

Master probability fundamentals and their direct applications in machine learning algorithms, from Bayes' Theorem to model evaluation metrics like ROC curves.

• edX
• 4 weeks, 2-5 hours a week
• On-Demand
• Free Online Course (Audit)

Prediction Maps & Validation using Logistic Regression & ROC

149 ratings at Udemy

Comprehensive (Step-by-Step) Procedure From Prediction to ROC Validation of Maps using Logistic Regression In GIS and R

• Udemy
• 2 hours 6 minutes
• On-Demand
• Paid Course

Predictive Modeling with Python

86 ratings at Udemy

Think with a predictive mindset and understand well the basics of the techniques used in prediction with this course

• Udemy
• 9 hours 26 minutes
• On-Demand
• Paid Course

Binary Logistic Regression with Minitab

86 ratings at Udemy

Perform and Analyze the Results of Binary Logistic Regression Analysis using Minitab 19

• Udemy
• 3 hours 4 minutes
• On-Demand
• Paid Course

Machine Learning Fundamentals

Discover supervised machine learning fundamentals, from linear regression to classification models, regularization techniques, and performance evaluation using ROC curves.

• Coursera
• 1 day 10 hours 7 minutes
• On-Demand
• Paid Course

EDUCBA

Machine Learning with Python: Diabetes Prediction

Master diabetes prediction using Python and machine learning through hands-on practice with real healthcare data, logistic regression, and ROC curve evaluation techniques.

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

EDUCBA

Logistic Regression with R: Build & Predict

Master logistic regression in R through hands-on projects in healthcare and finance, from data preprocessing to model optimization using ROC curves and confusion matrices.

• Coursera
• 8 hours 16 minutes
• On-Demand
• Paid Course

EDUCBA

Analyze & Build a Churn Prediction Model in R

Master customer retention analytics by building and evaluating churn prediction models in R using logistic regression, data preprocessing, and performance metrics like ROC curves.

• Coursera
• 4 hours 45 minutes
• On-Demand
• Paid Course

Machine Learning: Logistic Regression

268 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
• On-Demand
• Free Trial Available

Understand data science for machine learning

Machine learning is enables data scientists make predictions about objects, people, and the future. This learning path is a high-level introduction to machine learning for people with little or no knowledge of computer science or statistics.

• Microsoft Learn
• 6 hours 33 minutes
• On-Demand
• Free Online Course

Great Learning

Supervised Learning Full Course - Supervised Learning Tutorial for Beginners

In this video we will be explaining various advantages in detail. We will also be covering different topics such as, What is Machine Learning, What are their types, Python implementation for Regression, and much more.

• YouTube
• 4 hours 46 minutes
• On-Demand
• Free Video