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1. Big_Data_OnlineRetail Big_Data_OnlineRetail Public

   Leveraging PySpark and H2O to analyze a dataset of online retail transactions. This project focuses on data preprocessing, exploratory data analysis, and modeling to extract valuable insights and i…

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2. roulette_simulation roulette_simulation Public

   Simulating and analyzing the Martingale and Doubling betting strategies in roulette using Monte Carlo simulations to evaluate their profitability and risks.

   R

3. Gold_pctChange_timeseries Gold_pctChange_timeseries Public

   Gold price prediction using various preprocessing techniques and models, including XGBoost, Prophet, VAR, and SARIMAX, for a Beltone competition focused on forecasting percent changes in gold prices.

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4. Customer_Churn_Prediction Customer_Churn_Prediction Public

   Predicting customer churn using data analysis, feature engineering, and machine learning techniques to help businesses retain at-risk customers and improve loyalty.

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5. Breast-Cancer-Clustering-Analysis Breast-Cancer-Clustering-Analysis Public

   Clustering analysis of the Breast Cancer Wisconsin Dataset using hierarchical and k-means algorithms, with performance evaluation through R² and error rate calculations to diagnose breast cancer.

   R

6. Mnist-Clustering Mnist-Clustering Public

   This repository contains a small task implementing clustering techniques on the MNIST dataset using Python. It explores Gaussian Mixture Models and K-Means clustering to classify handwritten digits…

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