GithubHelp home page GithubHelp logo

Sarvesh Bagwe - Machine Learning Professional

Greetings, I am Sarvesh Bagwe, a highly accomplished Machine Learning professional with a strong background in Recommendation Systems, Natural Language Processing, and Deep Learning.

Skills

  • Machine Learning
  • Recommendation Systems
  • Natural Language Processing
  • Deep Learning

I hold a Master's degree in Information and Communication Technology, with a specialization in Machine Learning, from the prestigious Dhirubhai Ambani Institute of Information and Communication Technology. I also completed my B.E in Electronics and Communication Engineering from Vishwakarma Government Engineering College.

My vast experience in these fields has given me the opportunity to work on several cutting-edge projects, where I have applied my expertise to build and implement highly efficient and effective systems.

Currently, I am exploring the mathematical foundations of Machine Learning, and I am committed to developing an in-depth understanding of advanced algorithms and techniques.

If you're looking for a professional with a passion for Machine Learning and expertise in the domains of Recommendation Systems, Natural Language Processing, and Deep Learning, then I'm the right person for you.

Feel free to reach out to me on LinkedIn to discuss opportunities or collaborate on a project: https://www.linkedin.com/in/sarvesh-bagwe-a482791a4.

Sarvesh Bagwe's Projects

covid-19-detection icon covid-19-detection

COVID-19 Detection using X-Ray of human's thoracic region with different transfer learning models

deepneuralnlp icon deepneuralnlp

This repository is the part of our Master's course IT555: Deep Neural NLP. In this repository, each branch contains a single assignment that will be combined further to be the project.

heart-attack-prediction- icon heart-attack-prediction-

About this dataset Age : Age of the patient Sex : Sex of the patient exang: exercise induced angina (1 = yes; 0 = no) ca: number of major vessels (0-3) cp : Chest Pain type chest pain type Value 1: typical angina Value 2: atypical angina Value 3: non-anginal pain Value 4: asymptomatic trtbps : resting blood pressure (in mm Hg) chol : cholestoral in mg/dl fetched via BMI sensor fbs : (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false) rest_ecg : resting electrocardiographic results Value 0: normal Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV) Value 2: showing probable or definite left ventricular hypertrophy by Estes' criteria thalach : maximum heart rate achieved target : 0= less chance of heart attack 1= more chance of heart attack n

image_segmentation icon image_segmentation

This repository contains the projects regarding the image segmentation using CNN architectures (Unet)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.