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1. Micro-Mobility-Demand-Analysis-using-Hypothesis-Testing Micro-Mobility-Demand-Analysis-using-Hypothesis-Testing Public

   This project analyses Yulu’s bike-sharing data to identify factors influencing demand for shared electric cycles. Using EDA, visualizations, and hypothesis testing, it evaluates variables like seas…

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2. Student-Admission-Prediction-using-Linear-Regression Student-Admission-Prediction-using-Linear-Regression Public

   This project predicts Ivy League admission chances using Linear, Ridge, and Lasso Regression. It includes EDA, feature engineering, assumption testing, and model evaluation, highlighting key factor…

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3. Credit-Risk-Prediction-Using-Logistic-Regression Credit-Risk-Prediction-Using-Logistic-Regression Public

   This project focuses on predicting loan approval for LoanTap’s personal loans using Logistic Regression. It covers EDA, feature engineering, and model evaluation, including classification metrics, …

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4. Driver-Attrition-Prediction-Using-Ensemble-Learning Driver-Attrition-Prediction-Using-Ensemble-Learning Public

   This project predicts driver attrition at Ola using ensemble models (Random Forest, XGBoost, LightGBM). It includes data preprocessing, feature engineering, imbalance handling, and model tuning, ev…

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5. Porter-Neural_Network_Regression Porter-Neural_Network_Regression Public

   Porter Delivery Time Prediction is a machine learning project that builds a regression model to predict food delivery times using historical order, restaurant, and partner availability data. It fea…

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6. Logistics-Feature-Engineering Logistics-Feature-Engineering Public

   This project focuses on feature engineering and EDA of Delhivery’s logistics dataset. It covers missing value treatment, outlier detection, categorical encoding, normalization and creation of new f…

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