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Hrugved HereπŸ˜ƒ


  • πŸ‘‹πŸ» Sup! I’m HrugVed ✌🏻
  • πŸ‘€ I’m proficient in Data Science, Machine Learning, Open Source, SQL πŸ˜„
  • 🌱 Learning and implementing projects using Azure and AWS services i.e SageMaker, DeepRacer 🀡🏻
  • πŸ‘¨πŸ»β€πŸ’» Currently exploring Open Source field πŸ“±
  • πŸ’žοΈ I’m open for collaboration on every interesting project/stuff ✌🏻
  • πŸ“« You can contact me through any of these socials IDs πŸ˜πŸ‘‡πŸ»

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HrugVed


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Python C++ Juyter HTML CSS JavaScript



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Hrugved Kolhe


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Hrugved's Portfolio Hrugved's LinkedIn Hrugvedtwts Hrugved's IG Hrugved's TG HrugVed (He/Him)#8131 Hrugved's Mail


Hrugved Kolhe's Projects

ds-scriptsnook icon ds-scriptsnook

One Stop Destination to get acquainted with scripts in Data Science. Show your support by ✨ this repository.🎊

face-x icon face-x

Demonstration of different algorithms and operations on faces. Join the Discord channel for discussion.

intern-academy-tasks icon intern-academy-tasks

Data Science and Machine Learning tasks are given by The Intern Academy are performed in this repository.

medical-drone-delivery icon medical-drone-delivery

Delivery of Medical equipment with the help of drones in Hilly terrain using Unsupervised Machine Learning and Google map APIs

olympics-medal-prediction icon olympics-medal-prediction

The goal of this project is to make a prediction model which will predict whether an athlete will win a medal or not.

realtime-digit-recognizer icon realtime-digit-recognizer

This is a RealTime-MultiplevDigitRecognition application that can predict output corresponding to handwritten images. Here, I used LinearSVC(support vector classifier) and the sequential model of Keras for creating this predictive model. I trained SVC and reshaped it to the 28X28 MNIST dataset, the accuracy of this model turned out to be very good when I run this model.

realtime-emotion-recognition icon realtime-emotion-recognition

This project classifies the emotions like happy, neutral, angry, disgusted, fearful, sad and surprised in real-time using face detection.

speech-emotion-recognition icon speech-emotion-recognition

Emotion (Happy, Neutral, Anger, Disgust, Fear, Sad) detection is performed in this repository. I am using the popular dataset Crema from Speech Emotion Recognition (en) which contains 7,442 original clips from 91 actors - 48 male and 43 female of a wide range of ages, races and ethnicities.

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