Update README.md

Author: malaikannan

README.md

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-# explainableML
-'Keep Calm and Trust your Model' : On Explainability of Machine Learning Models
 
-Using practical tools to demystify "black box" machine learning algorithms.
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-[Inception Deep Learning model explanation](https://github.com/psbots/explainableML/blob/master/inception_classifier_explained_with_LIME.ipynb)
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-[URL Phishing detection using Random Forest](https://github.com/psbots/explainableML/blob/master/url_phishing_explained_with_RandomForest.ipynb)
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-[XGBoost model explained with LIME](https://github.com/psbots/explainableML/blob/master/xgboost_explained_with_LIME.ipynb)
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-[Bayesian Rule List Classifier vs Random Forest](https://github.com/psbots/explainableML/blob/master/BRL_versus_RandomForest.ipynb)