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1. Yulu-Hypothesis-Testing Yulu-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. JamboreeEducation-Linear_Regression JamboreeEducation-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. LoanTap-Logistic_Regression LoanTap-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. OLA-Ensemble-Learning OLA-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. Delhivery-Feature-Engineering Delhivery-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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