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LIME (Local Interpretable Model-Agnostic Explanations)

Master LIME and learn to explain complex machine learning models by generating local, interpretable explanations for individual predictions.
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Course Duration: 10 Hours
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LIME – Interpreting Machine Learning Models with Local Explanations – Online Course
 
LIME: Interpreting Machine Learning Models with Local Explanations is a comprehensive, hands-on course tailored for data scientists, ML engineers, AI researchers, and AI governance professionals who want to understand and interpret black-box models. LIME helps create human-interpretable explanations for individual predictions, empowering teams to build more transparent and trustworthy AI systems.
 
LIME is model-agnostic, meaning it can explain any supervised ML model (e.g., tree ensembles, neural networks, SVMs). By approximating complex models locally with interpretable models (like linear regressions or decision trees), LIME generates intuitive explanations for why a model made a specific prediction.
 
This course covers LIME fundamentals, integration with Scikit-learn and TensorFlow, visualization techniques, real-world use cases, and regulatory compliance contexts. You’ll gain practical experience explaining predictions for tabular, text, and image data using LIME while comparing it with other interpretability methods such as SHAP.
 
 
How to Use This Course
  1. Learn core explainability concepts: Understand model interpretability and its relevance to AI trust and compliance.
  2. Hands-on coding exercises: Implement LIME with Python and popular ML frameworks.
  3. Work across data modalities: Apply LIME to tabular datasets, NLP models, and image classification.
  4. Compare with other methods: Explore how LIME complements or differs from SHAP and rule-based explanations.
  5. Use explainability in governance: Apply LIME outputs to meet compliance requirements and communicate model reasoning to stakeholders.
By the end, you’ll confidently integrate LIME into your ML pipelines for explainable predictions and transparent AI decision-making.

Course/Topic 1 - Coming Soon

  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

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Course Objectives Back to Top
By completing this course, you will be able to:
 
  1. Understand the theoretical foundation and working of LIME.
  2. Install and implement LIME in Python for various model types.
  3. Explain individual predictions for black-box ML models.
  4. Apply LIME for tabular, text, and image data.
  5. Visualize feature contributions to specific predictions.
  6. Combine LIME with Scikit-learn, TensorFlow, and PyTorch workflows.
  7. Compare LIME with SHAP and interpretability alternatives.
  8. Use LIME outputs to debug models and identify data issues.
  9. Communicate AI model reasoning to business stakeholders.
  10. Apply LIME in regulated industries to meet compliance and ethical AI standards.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Introduction to Explainable AI and LIME
  • Why Explainability Matters in AI/ML
  • Overview of Black-Box vs Interpretable Models
  • Introduction to LIME
Module 2: Fundamentals of LIME
  • How LIME Works: Local Approximation
  • Perturbations and Sampling Strategy
  • Linear Models for Local Explanations
Module 3: Installing and Setting Up LIME
  • Python Environment Setup
  • Installing LIME via Pip/Conda
  • Working with Jupyter for Visualization
Module 4: LIME with Tabular Data
  • Explaining Predictions on Structured Data
  • Feature Attribution Visualization
  • Debugging Misclassifications
Module 5: LIME for Text Classification
  • Explaining NLP Models
  • Highlighting Word-Level Contributions
  • Case Study: Sentiment Analysis
Module 6: LIME for Image Classification
  • Superpixel Segmentation
  • Explaining CNN Predictions
  • Visualizing Relevant Regions in Images
Module 7: Integration with ML Frameworks
  • Using LIME with Scikit-learn Models
  • Explaining Deep Learning Models (TensorFlow, PyTorch)
Module 8: Comparing LIME with Other Techniques
  • LIME vs SHAP: Similarities and Differences
  • Complementing LIME with Global Explanations
Module 9: Explainability for Governance and Compliance
  • Regulatory Use Cases (GDPR “Right to Explanation”)
  • Communicating Explanations to Non-Technical Users
Module 10: Advanced Topics
  • Parameter Tuning for LIME (Sampling, Kernel Width)
  • Limitations and Pitfalls of LIME
  • Hybrid Explainability Strategies
Module 11: Real-World Projects
  • Explaining Loan Approval Predictions (Finance)
  • Understanding Disease Diagnosis Models (Healthcare)
  • Interpreting Product Recommendations (Retail)
Module 12: Interview Preparation
 
  • Core Questions and Hands-On Problem Solving
Certification Back to Top

Upon completion, you will receive a Certificate of Completion in LIME (Local Interpretable Model-Agnostic Explanations) from Uplatz. This certification validates your ability to implement LIME for interpretable ML workflows and communicate explanations effectively to both technical and non-technical audiences. It signals expertise in explainable AI and readiness for roles in ML engineering, AI ethics, and data science.

Career & Jobs Back to Top
Explainability tools like LIME are essential in industries where AI must be transparent, auditable, and accountable. Professionals skilled in LIME are in demand across:
  • Finance and Banking (credit risk scoring transparency)
  • Healthcare (interpreting diagnosis AI models)
  • HR and Legal Tech (auditing automated hiring tools)
  • AI Governance and Compliance Teams
Relevant job titles include:
  • Data Scientist (Explainable AI)
  • AI Governance Specialist
  • ML Engineer (Model Interpretability)
  • AI Ethics and Compliance Analyst
  • Responsible AI Consultant
As AI regulation (EU AI Act, GDPR) grows stricter, LIME skills become increasingly valuable in building AI models that meet ethical and compliance requirements.
Interview Questions Back to Top
1. What is LIME, and why is it used?
LIME is a model-agnostic explainability method that explains individual predictions by approximating the black-box model locally using a simpler interpretable model.
 
2. How does LIME work?
LIME perturbs input data, observes the model’s output, and fits a simple model (e.g., linear regression) locally to explain feature contributions.
 
3. What does “model-agnostic” mean in LIME?
It means LIME can explain any machine learning model regardless of its internal structure, including neural networks, ensembles, and SVMs.
 
4. What is the difference between LIME and SHAP?
LIME uses local approximations, while SHAP uses Shapley values from game theory for consistent global and local explanations.
 
5. Can LIME be used for image classification models?
Yes, LIME segments images into superpixels and determines which regions contributed most to a prediction.
 
6. What are limitations of LIME?
Results depend on sampling parameters and perturbation strategies; explanations may vary across runs and lack stability compared to SHAP.
 
7. How is LIME applied in NLP?
LIME highlights the contribution of individual words or tokens to a classification output, useful in sentiment analysis and text classification.
 
8. How does LIME help in debugging models?
It identifies feature dependencies and unexpected correlations driving model predictions, revealing data or bias issues.
 
9. What are real-world use cases of LIME?
Loan approval transparency, medical AI diagnosis explanation, recommendation systems interpretation, and compliance reporting.
 
10. Why is LIME important in regulated industries?
It provides interpretable explanations to comply with laws like GDPR’s “Right to Explanation” and build trust with regulators and stakeholders.
Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

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A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
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BUY THIS COURSE (USD 17 USD 41)