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1. AirBnb-Price-Prediction AirBnb-Price-Prediction Public

   The ability to predict prices and features affecting the appraisal of property can be a powerful tool in such a cash intensive market for a lessor. Additionally, a predictor that forecasts the numb…

   Jupyter Notebook 1

2. churn-prediction churn-prediction Public

   To build a classification system to predict whether a customer will churn or not based on the IBM Telecom Data from Kaggle. Technically, it is a binary classifier that divides clients into two grou…

   Jupyter Notebook 1

3. Statistical-Methods-Project Statistical-Methods-Project Public

   Performed rigorous preprocessing, and data cleaning, and conducted exploratory data analysis to identify trends, patterns, and outliers, leading to valuable insights. Employed various statistical m…

   Jupyter Notebook 1

4. Time-Series-Analysis-Non-Seasonal Time-Series-Analysis-Non-Seasonal Public

   The goal of this project is to predict and forecast daily return values for a particular stock. Given the highly volatile nature of stock data, we will fit a univariate GARCH model to achieve our g…

   R 1

5. Time-Series-Analysis-Seasonal Time-Series-Analysis-Seasonal Public

   A seasonal time series of Hotel Hospitality Industry Employees. This dataset contains the number of employees in thousands of persons as monthly averages from 1990-01-01 to 2018-12-01. The goal of …

   R 1

6. Employee-Attrition Employee-Attrition Public

   This project analyzes employee attrition data to uncover key factors, predict turnover, and develop strategies for retention, ultimately enhancing organizational stability and performance.

   Jupyter Notebook 1