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Sreedevi Sree Github

Sreedevi Sree Github
Sreedevi Sree Github

Sreedevi Sree Github Sreedevi311 has 22 repositories available. follow their code on github. Developed a robust hospital management web application with angular and spring framework with sql database. the application features include patient and admin authentication and management, crud operations for booking appointments, view previous bookings, view filter search bookings.

Sreedevi Warrier Github
Sreedevi Warrier Github

Sreedevi Warrier Github View sreedevi g.’s profile on linkedin, a professional community of 1 billion members. Environment: python, nltk, spacy, tensorflow, pytorch, hugging face, mlflow, github – with end to end integration in production level workflows at amd. study and transform data science prototypes, design nlp applications. performed data processing using python libraries like numpy and pandas. Contact github support about this user’s behavior. learn more about reporting abuse. report abuse more. Executed and contributed to applications using angular, asp and mssql with an emphasis on frontend features, browser manipulation, and cross browser compatibility. 2. developed chat applications using websockets and nodejs for high volume web applications.

Sreedevi Am Sree Devi Github
Sreedevi Am Sree Devi Github

Sreedevi Am Sree Devi Github Contact github support about this user’s behavior. learn more about reporting abuse. report abuse more. Executed and contributed to applications using angular, asp and mssql with an emphasis on frontend features, browser manipulation, and cross browser compatibility. 2. developed chat applications using websockets and nodejs for high volume web applications. Collection of awesome llm apps with ai agents and rag using openai, anthropic, gemini and opensource models. sreedevimsree has 5 repositories available. follow their code on github. Developed an implementation idea (logistic regression model) to identify if a machine contains files with sensitive data using machine learning techniques (text mining, neural networks). used: elastic search, python, nlp libraries (nltk, spacy), pandas, scikit learn, keras. 🚀 nlp assignment 4 completed – fine tuning bert on real world dataset i’m excited to share that i have successfully completed my latest data science internship task focused on fine tuning. Skills summary languages: java, mysql, html, css, javascript frameworks: spring framework, spring microservices, logstash tools & platforms: git, aws, wordpress, drupal soft skills: leadership, writing, time management.

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