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1. Customer-Segmentation-In-E-Commerce-Based-On-Clustering-Technique Customer-Segmentation-In-E-Commerce-Based-On-Clustering-Technique Public

   Customer segmentation in e-commerce using clustering techniques, with and without PCA. The project compares model performance, interpretability, and efficiency to provide actionable insights for pe…

   Jupyter Notebook 1

2. Agile-Data-Science-for-Student-Performance-Prediction-and-Visualisation Agile-Data-Science-for-Student-Performance-Prediction-and-Visualisation Public

   Interactive Streamlit dashboards and explainable machine learning models for predicting student performance, analysing sleep and study habits, and identifying at-risk students. Developed using an A…

   Python 1 1

3. Big-Data-Weather-and-Air-Quality-Analytics-with-Hadoop-Ecosystem-and-Power-BI Big-Data-Weather-and-Air-Quality-Analytics-with-Hadoop-Ecosystem-and-Power-BI Public

   Scalable big data analytics pipeline for weather and air quality datasets using the Hadoop ecosystem (HDFS, Hive, HCatalog, Pig) integrated with Power BI dashboards. This project processes climate …

4. Comparative-Deep-Learning-Approaches-for-Object-Detection-YOLOv8-SSD-MobileNet-and-Faster-R-CNN Comparative-Deep-Learning-Approaches-for-Object-Detection-YOLOv8-SSD-MobileNet-and-Faster-R-CNN Public

   Comparative benchmarking of YOLOv8 Nano, SSD MobileNet, and Faster R-CNN on the COCO128 dataset. Evaluates accuracy, speed, and trade-offs between lightweight, mobile-friendly, and high-precision a…

   Jupyter Notebook

5. Multi-Approach-Sentiment-Analysis-of-Airline-Twitter-Data Multi-Approach-Sentiment-Analysis-of-Airline-Twitter-Data Public

   Sentiment analysis of US airline tweets using multiple approaches: lexicon-based (VADER, TextBlob), machine learning (Logistic Regression, Naive Bayes, Random Forest), and deep learning/transformer…

   Jupyter Notebook

6. Sleep-Health-and-Lifestyle-Insights-Dashboard-in-Power-BI Sleep-Health-and-Lifestyle-Insights-Dashboard-in-Power-BI Public

   An interactive Power BI dashboard analysing the relationship between sleep duration, quality, stress levels, BMI categories, and occupation using the Sleep Health and Lifestyle dataset. The project…