LIME Courses and Certifications

Prodramp

Apply LIME to Explain, Trust, and Validate Your Predictions for Any ML Model

Hands-on tutorial using LIME and custom implementations to explain image classification predictions with superpixel visualizations across Inception V3, EfficientNet, and ResNet50.

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

Coursera

Interpretable Machine Learning Applications: Part 2

35 ratings at Coursera

Explain individual predictions, not whole models: apply Local Interpretable Model-agnostic Explanations (LIME) to add explainability to machine learning classifiers such as regression models.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Explainable AI in Python

1160 ratings at DataCamp

Discover the Power of Explainable AI Embark on a journey into the intriguing world of explainable AI and uncover the mysteries behind AI decision-making.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

NashKnolX

Interpretable Machine Learning: Understanding Black-Box Models with SHAP and LIME

Discover essential techniques for making complex ML models transparent, from SHAP to LIME, and learn to explain predictions, detect biases, and build trustworthy AI systems through practical demonstrations.

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

CG Cookie

Blender Tutorial - Lime and Lemon Splitting

Master creating realistic citrus fruit splitting effects in Blender through hands-on modeling and animation techniques with expert guidance from CG Cookie's live stream tutorial.

• YouTube
• 2 hours 7 minutes
• Self-Paced
• Free Video

Explainable Machine Learning (XAI)

29 ratings at Coursera

Implement LIME, SHAP, ICE, PDP, and ALE explanations in Python, visualize neural network activations, and critique attention and saliency methods for transformers and LLMs.

• Coursera
• 3 weeks, 5 hours a week
• Self-Paced
• Paid Course

Explainable Deep Learning Models for Healthcare

15 ratings at Coursera

Explain deep learning decisions in healthcare: apply permutation feature importance, LIME, SHAP, CAM, Grad-CAM, integrated gradients, and visualised attention weights to time-series models.

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Edureka Career Certificate

Explainable AI (XAI)

Learn to explain model decisions with SHAP and LIME, judge explanations by fidelity, stability and robustness, audit models for fairness, and write reports for regulators.

• Coursera
• 8 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Edureka

Explainable AI for Everyone

Interpret machine learning models with permutation importance, PDP, ICE, LIME, and SHAP, detect bias, and design stakeholder-focused explanation reports.

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

Coursera

Explain Black-Box Models

Explain black-box models: apply SHAP, LIME, counterfactual and surrogate explanations, compare them on fidelity and stability, and build executive-ready feature-importance visuals.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

NPTEL-NOC IITM

Mineral Admixtures: Strength Activity Test, Lime Reactivity Test, Mixture Proportioning and R3 Test

1 rating

Explore pozzolanic activity measurement methods, including strength activity, lime reactivity, and R3 tests. Learn mixture proportioning with Supplementary Cementitious Materials.

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

Learn to interpret machine learning predictions with feature-importance methods, PDP/ICE plots, SHAP, and LIME for more transparent AI systems.

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

Machine Learning Interpretability

Interpret linear regression, decision trees, random forests, and black-box models in Python using LIME, SHAP, partial dependence, ALE plots, and permutation feature importance.

• Train in Data
• Self-Paced
• Paid Course

Explainable Machine Learning with LIME and H2O in R

58 ratings at Coursera

Build classification models quickly with H2O AutoML in R, then explain and interpret individual black-box model predictions using the LIME package.

• Coursera
• 2 hours 10 minutes
• No Longer Offered
• Paid Course

NPTEL-NOC IITM

Overview of Cement Chemistry and Concrete Performance: Quality Control and Composition

2 ratings

Explore cement chemistry, production, and quality control, from historical binding materials to modern clinker composition and appearance.

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