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1. Churn-rate-modelling Churn-rate-modelling Public

   Predict customer churn rate for a mock telecommunications company using explanatory variables such as age, monthly charges, complaints, etc.

   R

2. PersonalWebsite2 PersonalWebsite2 Public

   Refresh of original personal website

   HTML

3. Monte-Carlo-simulation-study-error-rate Monte-Carlo-simulation-study-error-rate Public

   Quantifying the effect of error rate and model quality using Monte Carlo Simulations

   R

4. Real-estate-price-predictions-and-DOM-prediction Real-estate-price-predictions-and-DOM-prediction Public

   Using machine learning techniques to predict vancouver housing prices and "Days on Market" prediction

   Jupyter Notebook

5. Electricity-price-forecasting- Electricity-price-forecasting- Public

   Class project where we used deep learning techniques to estimate marginal local energy prices in PJM's day-before and real-time markets

   Jupyter Notebook 4

6. Telco-customer-churn-prediction Telco-customer-churn-prediction Public

   Class project where we used basic machine learning models to predict churn rates for a telecommunications company. Data was found on kraggle (https://www.kaggle.com/blastchar/telco-customer-churn)

   Python