Showing results for Discounts Vector Vector Vector
GitHub Repo
https://github.com/jennifarjonh/https-embstitchers.com-index.php
jennifarjonh/https-embstitchers.com-index.php
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GitHub Repo
https://github.com/RoaAssaad/Data_Structures_Project
RoaAssaad/Data_Structures_Project
This C++ project creates a menu system using doubly linked lists to categorize items into Appetizers, Main Dishes, Desserts, and Beverages. Menu data is read from a .txt file. It includes a special offer feature using vectors, where discounted items are randomly selected and updated when stock is depleted.
GitHub Repo
https://github.com/utkar22/Text-Classification-and-Ranked-Information-Retrieval
utkar22/Text-Classification-and-Ranked-Information-Retrieval
Implementation of a Naive Bayes Classifier using TF-ICF vectorization, and ranking the relevance of information using Discounted Cumulative Gain
GitHub Repo
https://github.com/JDBakerCS/Bookstore-inventory
JDBakerCS/Bookstore-inventory
A C++ inventory and sales management system simulating a real-world bookstore environment. Implements STL maps and vectors for data organization, file-based input parsing, discount rule application, and structured sales reporting.
GitHub Repo
https://github.com/msesmart/InformationRetrieval
msesmart/InformationRetrieval
Real Yelp review data, cosine similarity ranking of query review in Vector Space, TF-IDF model. Unigram, Bigram Language model with linear interpolation smoothing, absolute discounting smoothing, Dirichlet smoothing. Perplexity analysis. Evaluations of six language models, including boolean, TF-IDF, Okapi BM25, Pivoted Length Normalization, Jelinek-Mercer smoothing, Dirichlet Prior Smoothing. The evaluation methods include Mean Average Precision, P@K, Reciprocal rank, Normalized Discount Cumulative Gain (NDCG).
GitHub Repo
https://github.com/AliRaza2331/cpp-grocery-checkout
AliRaza2331/cpp-grocery-checkout
Simple C++ program that simulates a grocery store checkout system using structs, vectors, and tax/discount logic.
GitHub Repo
https://github.com/xploitspeeds/Bookmarklet-Hacks-For-School
xploitspeeds/Bookmarklet-Hacks-For-School
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GitHub Repo
https://github.com/kashvishetty2410/SalesDynamics-Forecast
kashvishetty2410/SalesDynamics-Forecast
A machine learning system for supermarket sales forecasting using Linear Regression, Random Forest, and Support Vector Regression combined through a stacking ensemble. The model incorporates time trends, seasonal patterns, discount effects, and distance factors to improve real-world sales prediction.
GitHub Repo
https://github.com/Vash150605/Sales_Performance_array_analytics
Vash150605/Sales_Performance_array_analytics
Comprehensive sales analysis of 50 products over 24 months using NumPy. Features monthly & quarterly revenue analysis, statistical metrics, product revenue matrix, and 10% discount impact using vectorized array operations. Built with pandas and Jupyter Notebook.
GitHub Repo
https://github.com/SawaabA/GroceryHawks