Classification Courses and Certifications

Machine Learning: Classification

9 ratings

Build classifiers from scratch in Python: logistic regression, decision trees, AdaBoost, stochastic gradient ascent, precision-recall metrics and missing-data handling, on sentiment and loan data.

• Coursera
• 10 weeks, 2 hours a week
• Self-Paced
• Paid Course

Classification – Fundamentals & Practical Applications

69 ratings at Corporate Finance Institute

This course provides a comprehensive overview of classification problems, solutions, and interpretations along with walkthroughs of real-world scenarios

• Corporate Finance Institute
• 1 hour 28 minutes
• Self-Paced
• Paid Course

Classification Models

9 ratings at Udacity

Learn how to use classification predictive models to solve business problems involving non-numeric data.

• Udacity
• 5 hours
• Self-Paced
• Free Online Course

Classification and Planned Experiments

Build classification models with K-nearest neighbor and logistic regression in R and Python, then design, run, and analyze planned experiments including fractional factorial and computer experiments.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Machine Learning for Kyphosis Disease Classification

13 ratings at Coursera

Build a classification model that predicts whether a patient has kyphosis from diagnostic measurements such as age and number of vertebrae.

• Coursera
• 1 hour 54 minutes
• Self-Paced
• Paid Course

Corporate Finance Institute

Classification - Fundamentals & Practical Applications

Build classification models with logistic regression, KNN and SVM in Excel and Python, then interpret outputs using confusion matrices, evaluation metrics, SHAP values and PDP plots.

• Coursera
• 2 hours 58 minutes
• Self-Paced
• Paid Course

Learn to build deep learning neural network models for classification problems.

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

Machine Learning: Classification

This course covers key supervised machine learning (ML) and classification techniques, including logistic regression, decision trees, ensemble methods, and handling unbalanced datasets. Build and eval

• edX
• 2 weeks, 30-35 hours a week
• Self-Paced
• Free Online Course (Audit)

Build and evaluate employee-churn classification models using SAP HANA DataFrames and the Python Machine Learning Client.

• SAP Learning
• 1 hour 46 minutes
• Self-Paced
• Free Online Course

Loan Default Prediction with Machine Learning

69 ratings at Corporate Finance Institute

Combine a data set with basic Machine Learning skills to predict which customers are likely to default on their loans

• Corporate Finance Institute
• 3 hours 56 minutes
• Self-Paced
• Paid Course

James Briggs

GUI-Based Few Shot Classification Model Trainer - Demo

Use vector search to focus annotation and fine-tuning on samples most likely to improve classification with fewer labeled examples.

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

NPTEL-NOC IITM

Logistic Regression: Classification Evaluation Metrics

Understand key classification metrics including confusion matrix, accuracy, precision, recall, F1-score, and AUC-ROC for evaluating logistic regression models.

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

Classification in Computer Vision - Lecture 18

Explores image classification through nearest-neighbor, linear, and maximum-margin classifiers, including testing and decision boundaries.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Train and Evaluate Classification Models

Learn to train and evaluate binary classification models in scikit-learn, including threshold selection, confusion matrices, and performance metrics.

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

Coursera

Titanic Survival Prediction Using Machine Learning

19 ratings at Coursera

Build, train and test classifiers that predict Titanic survivors from features like age, number of siblings and ticket class, using logistic regression and naive Bayes.

• Coursera
• 2 hours 2 minutes
• Self-Paced
• Paid Course