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1. CreditCardDefaults_AdaptiveBoosting CreditCardDefaults_AdaptiveBoosting Public

   This project is an extension of repository: Credit Card Defaults with Random Forrest Classifiers. It uses Adaptive Boosting to Create Predictions on Census Data

   Jupyter Notebook

2. CreditCardDefaults_RandomForestClassifiers CreditCardDefaults_RandomForestClassifiers Public

   This project uses a variety of decision tree based classifiers to attempt prediction of whether or not a customer will default on their loans.

   Jupyter Notebook

3. KNN_HumanActivityRecognition KNN_HumanActivityRecognition Public

   Code a KNN Classifier from scratch, evaluate performance & compare to Scikit-Learn's implementation. Using data from UC Irvine Machine Learning Repositiory

   Jupyter Notebook 1

4. Shiny_App Shiny_App Public

   My very first Shiny App: "Who let the dogs out?"

   R

5. House_Prices_Bayesian_Regression House_Prices_Bayesian_Regression Public

   Predicting house prices based on various features given in dataset using Bayesian Regression model

   Jupyter Notebook 1

6. House_Prices_Ridge_Regression House_Prices_Ridge_Regression Public

   Predicting house prices based on various features given in dataset using Ridge Regression model

   Jupyter Notebook 1