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1. Task-1 Task-1 Public

   Advanced EDA, statistical data cleaning, and feature engineering pipeline for online store orders using Python and Pandera, developed during my Data Science internship at DecodeLabs.

   Python 1

2. Task-2 Task-2 Public

   An end-to-end fraud detection pipeline addressing extreme class imbalance using SMOTE oversampling, Logistic Regression, and Random Forest models. Includes a comparative performance analysis and in…

   Python 1

3. Task-3 Task-3 Public

   An end-to-end unsupervised learning pipeline that compresses high-dimensional retail transaction data using PCA and K-Means clustering to isolate actionable enterprise marketing personas.

   Python 1

4. Task-4 Task-4 Public

   End-to-end NLP pipeline for benchmarking sentiment classification using Naive Bayes and SVM with POS-guided lemmatization and CSR sparse compression.

   Python 1