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1. Stacking-Ensemble Stacking-Ensemble Public

   Stacking ensemble (classification) / Boosting and Bagging for AutoInsurance sample data

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2. Outlier-PyOD Outlier-PyOD Public

   Outlier detection using PyOD library

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3. Pricing-Test Pricing-Test Public

   Pricing Test project-Performing unsupervised learning to cluster the data to choose highest earnings cluster, then perform Gradient boosting feature selection to see the effect of "test" column wit…

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4. Superlearner-R-Ensemble Superlearner-R-Ensemble Public

   Classification and Regression Ensemble methods using R Superlearner package

5. Sentiment-Analysis-R Sentiment-Analysis-R Public

   Using tm,snowballc,wordcloud,textstem and lexicon to lemmatize customer reviews and perform sentiment analysis using syuzhet.

6. Superlearner-R-Restaurant-review Superlearner-R-Restaurant-review Public

   Using SuperLearners ensemble method to predict restaurant reviews( 78% accuracy). However, RF gives 77% accuracy and runs way faster than the SuperLeaners. Conclusion is to use Random Forest for re…