# Contents

1. [`What is Explainable AI?`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/what-is-explainable-ai)
2. [`Why do we need Expalainbility?`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/why-do-we-need-explainablity)
3. [`Explainable Systems and Black Box Systems`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/explainable-systems-and-black-box-systems)
4. [`Types of Explainability Techniques`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/types-of-model-interpretability)
5. [`Explainable Models`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models)
   1. [`Linear Regression`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models/linear-regression)
      1. [`Introduction`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models/linear-regression)
      2. [`Assumptions`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models/linear-regression/assumptions)
      3. [`Model`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models/linear-regression/model-1)
      4. [`Statistical interpretation`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models/linear-regression/model)
   2. [`Decision Trees`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models/decision-trees)
      1. [`Introduction`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models/decision-trees)
      2. [`How Do They Work?`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models/decision-trees/how-do-they-work)
      3. [`Creating the model`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models/decision-trees/creating-the-model)
      4. [`Interpretation`](https://maheshwarappa-a.gitbook.io/explainable-ai-1/interpretable-machine-learning-models/decision-trees/interpretation)
6. [Model Agonistic Methods](https://maheshwarappa-a.gitbook.io/explainable-ai-1/model-agonistic-methods)
   1. [SHapley Additive exPlanations](https://maheshwarappa-a.gitbook.io/explainable-ai-1/model-agonistic-methods/shap)
   2. [Surrogate model](https://maheshwarappa-a.gitbook.io/explainable-ai-1/model-agonistic-methods/surrogate-model)
   3. [Local Interpretable Model-Agnostic Explanations and  K-LIME](https://maheshwarappa-a.gitbook.io/explainable-ai-1/model-agonistic-methods/lime-and-k-lime)
   4. [Partial Dependence Plot](https://maheshwarappa-a.gitbook.io/explainable-ai-1/model-agonistic-methods/pdp)
   5. [Individual Conditional Plots](https://maheshwarappa-a.gitbook.io/explainable-ai-1/model-agonistic-methods/ice)
7. [Data sets](https://maheshwarappa-a.gitbook.io/explainable-ai-1/datasets)
   1. [Medical cost personal Dataset](https://maheshwarappa-a.gitbook.io/explainable-ai-1/datasets/medical-cost-personal-dataset)
   2. [Telecom Churn Dataset](https://maheshwarappa-a.gitbook.io/explainable-ai-1/datasets/telecom-churn-dataset)
   3. [Sales Opportunity Size Dataset](https://maheshwarappa-a.gitbook.io/explainable-ai-1/datasets/sales-opportunity-size-dataset)
   4. [Pima Indians Diabetes Datasets](https://maheshwarappa-a.gitbook.io/explainable-ai-1/datasets/pima-indians-diabetes-dataset) 
8. [Implementation of these techniques on different models](https://maheshwarappa-a.gitbook.io/explainable-ai-1/implementation-of-these-techniques-on-different-models)
   1. [Logistic regression](https://maheshwarappa-a.gitbook.io/explainable-ai-1/implementation-of-these-techniques-on-different-models/logistic-regression)
   2. [Random forest ](https://maheshwarappa-a.gitbook.io/explainable-ai-1/implementation-of-these-techniques-on-different-models/untitled)
   3. [GBM - PDP](https://maheshwarappa-a.gitbook.io/explainable-ai-1/implementation-of-these-techniques-on-different-models/gbm-pdp)
   4. [GBM - ICE](https://maheshwarappa-a.gitbook.io/explainable-ai-1/implementation-of-these-techniques-on-different-models/gbm-ice)  
   5. [Deep Learning](https://maheshwarappa-a.gitbook.io/explainable-ai-1/implementation-of-these-techniques-on-different-models/deep-learning-surrogate)