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1. Flight_Booking_Price_Prediction Flight_Booking_Price_Prediction Public

   Predicting flight ticket prices using machine learning based on airline, source, destination, stops, duration, and booking time. Includes data preprocessing, EDA, and model evaluation using metrics…

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2. Netflix-Recommendation-System Netflix-Recommendation-System Public

   Implemented Singular Value Decomposition from 'surprise' library to recommend movies based on user ratings. It identified popular genres, suggested the best movie for users in each genre, and analy…

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3. Walmart-Sales-Forecasting Walmart-Sales-Forecasting Public

   Applied ARIMA, SARIMA, Holt-Winters, Random Forest and Support Vector Regression for multi-store time series forecasting. Engineered seasonal-trend insights, evaluated models using MAE, RMSE, and v…

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4. Customer-Churn Customer-Churn Public

   Analyzed telecom customer churn using Python. Performed data manipulation, visualization, and built predictive models with Linear Regression, Logistic Regression, Decision Trees, and Random Forest …

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5. Income_Classification_Using_Census_Income Income_Classification_Using_Census_Income Public

   The Income Classification Using Census Data project predicts whether an individual's income exceeds $50K based on demographic and employment attributes. It involves data preprocessing, EDA, and mod…

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6. Bio-Signal-Analysis Bio-Signal-Analysis Public

   Developing a machine learning pipeline to classify smoking status using bio-signal health metrics. Included data preprocessing, EDA, feature selection via tree-based importance, and ensemble modeli…

   Jupyter Notebook