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1. Housing_price_prediction_EDA_puerto_rico Housing_price_prediction_EDA_puerto_rico Public

   Exploratory Data Analysis on Puerto Rico real estate to identify key factors influencing housing prices. A linear regression model is used to predict price based on the most significant variable. T…

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2. MovieProfitPredictionMLProject MovieProfitPredictionMLProject Public

   Movie Profitability Prediction Built a machine learning pipeline in Python to predict movie profits. Preprocessed data, engineered features, and trained models with scikit-learn. Deployed an intera…

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3. ExploratoryDataAnalysis_US_HealthInsurance ExploratoryDataAnalysis_US_HealthInsurance Public

   Performed exploratory data analysis on U.S. healthcare costs using Python. Visualized distributions, correlations, and outliers with scatterplots, histograms, and boxplots to uncover cost drivers, …

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4. Room-Occupancy-Detection-Classification-Model Room-Occupancy-Detection-Classification-Model Public

   Predicts room occupancy using machine learning based on temperature, CO2, humidity, light, and humidity ratio. The model uses Logistic Regression trained on temperature and CO2 to classify occupanc…

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5. SmilingorNot_CNN_MLClassification SmilingorNot_CNN_MLClassification Public

   I built and trained a Convolutional Neural Network (CNN) in TensorFlow to classify faces as smiling or not smiling. Using a dataset of pre-normalized 64×64 pixel images, the model achieved 95% accu…

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6. CreditCard_FraudDetection CreditCard_FraudDetection Public

   In this data science project I create a ml model that determines whether or not a credit card transaction in fraudulent or not. The final model(gradient boosting) is over 99% accurate at predicting…

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