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Ecommerce-Recommendation-System-Using-Machine-Learning
Ecommerce-Recommendation-System-Using-Machine-Learning PublicA machine learning product recommendation system using rank-based, collaborative filtering, and SVD model-based methods to suggest relevant items. Built with an Amazon electronics ratings dataset t…
Jupyter Notebook
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ComputerVision-SmartFootfall-Visitor-Counting-and-Occupancy-Analytics
ComputerVision-SmartFootfall-Visitor-Counting-and-Occupancy-Analytics PublicVisionFootfall is a computer vision system that uses two CCTV cameras, person detection, tracking and temporary facial embeddings to measure daily unique visitors, entries, exits, occupancy, peak t…
Python
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A-B-Testing-and-Logistic-Regression-for-E-Commerce-Optimization
A-B-Testing-and-Logistic-Regression-for-E-Commerce-Optimization PublicThis project applied A/B testing and logistic regression to analyze user behavior on an e-commerce site. It calculated conversion probabilities, compared control and treatment groups, and identifie…
Jupyter Notebook
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Sentiment-Analysis-on-App-Reviews-Using-BERT-Overview
Sentiment-Analysis-on-App-Reviews-Using-BERT-Overview PublicFine-tuned BERT model for sentiment analysis on app reviews, classifying them as negative, neutral, or positive. Includes preprocessing, tokenization, PyTorch training, and evaluation, providing ac…
Jupyter Notebook
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Supply-Chain-and-Demand-Forecasting-Using-MSTL-and-TimeGPT
Supply-Chain-and-Demand-Forecasting-Using-MSTL-and-TimeGPT PublicThis project combines supply chain analytics and demand forecasting to predict weekly sales for store-SKU combinations. Using MSTL and TimeGPT models, it provides actionable insights for inventory …
Jupyter Notebook
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Customer-Segmentation-Using-KMeans-Clustering
Customer-Segmentation-Using-KMeans-Clustering PublicThe project involved using KMeans clustering to segment customers based on behavioral patterns and preferences providing customer segments for targeted marketing strategies.
Jupyter Notebook
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