Pinned Repositories
GraphPrescribe
"Cost-effective Digital Prescription using Pharmaceutical Knowledge Graph" is a AranongoDB-based knowledge graph containing comprehensive medication data. When provided with a prescription, the system efficiently analyzes the medicines and suggests reliable, cost-effective alternatives.
medical_knowledge_graph
this is a knowledge graph with diseases and symptoms as the main entities
Big-Mart-Sales-prediction
This project utilizes machine learning to predict sales in the retail industry using a Kaggle dataset. Five models were tested, with the polynomial regressor with degree 3 performing the best. Results can help companies optimize strategies and improve the bottom line.
Data-Science-Tools-and-Ecosystem
Hotel-Master-Hotel-Management-System-
Streamline your hotel operations with our Python & MySQL based management system. Features include room management, occupancy graphs, employee logs & a user-friendly GUI for easy navigation.
Language-Agnostic-Ontology-Extension-Framework
Introduce an automatic generation framework facilitating the creation of language-independent ontologies, bridging the gap between traditional manual ontology construction and the dynamic needs of diverse language formats.
Movie-Recommendation-System
The project involves the development of a movie recommendation system that utilizes content-based filtering based on cosine similarity. Through this project, I demonstrated my expertise in machine learning and natural language processing to build a system that can analyze user preferences and recommend relevant movies .
revabharara
Config files for my GitHub profile.
Spam-mail-classification-using-machine-learning-algorithms
This data science project aimed to classify emails as spam or ham using machine learning algorithms such as Logistic regression, decision trees, SVM, Naive Bayes, and random forest. The insights gained can be applied to email classification tasks.
revabharara's Repositories
revabharara/Hotel-Master-Hotel-Management-System-
Streamline your hotel operations with our Python & MySQL based management system. Features include room management, occupancy graphs, employee logs & a user-friendly GUI for easy navigation.
revabharara/Big-Mart-Sales-prediction
This project utilizes machine learning to predict sales in the retail industry using a Kaggle dataset. Five models were tested, with the polynomial regressor with degree 3 performing the best. Results can help companies optimize strategies and improve the bottom line.
revabharara/Spam-mail-classification-using-machine-learning-algorithms
This data science project aimed to classify emails as spam or ham using machine learning algorithms such as Logistic regression, decision trees, SVM, Naive Bayes, and random forest. The insights gained can be applied to email classification tasks.
revabharara/Language-Agnostic-Ontology-Extension-Framework
Introduce an automatic generation framework facilitating the creation of language-independent ontologies, bridging the gap between traditional manual ontology construction and the dynamic needs of diverse language formats.
revabharara/Movie-Recommendation-System
The project involves the development of a movie recommendation system that utilizes content-based filtering based on cosine similarity. Through this project, I demonstrated my expertise in machine learning and natural language processing to build a system that can analyze user preferences and recommend relevant movies .
revabharara/Data-Science-Tools-and-Ecosystem
revabharara/revabharara
Config files for my GitHub profile.