Skip to content
View priyanshkedia04's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report priyanshkedia04

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
priyanshkedia04/readme.md

Hi, I'm Priyansh Kedia πŸ‘‹

Student at Delhi Technological University | Expertise in Machine Learning, Deep Learning & Artificial Intelligence | Python Developer | Research Student

Skills πŸ’»


Machine Learning Deep Learning Data Science
MATLAB Python Computer Vision
Natural Language Processing SQL Pattern Recognition
C++ Object Oriented Programming Data Structures and Algorithms

Research Publications πŸ“„


1. CoVNet-19: A deep learning model for the detection and analysis of COVID-19 patients

2. Analysis of Machine Learning Models for Malware Detection

3. Analysis of Various Approaches for Stock Market Prediction

4. Review of Various Mathematical and Deep Learning based Forecasting Methods for COVID-19 Pandemic


Reach out to me on πŸ‘‰

Pinned Loading

  1. Read-Time-Face-Mask-Detecting-System Read-Time-Face-Mask-Detecting-System Public

    Read Time Face Mask Detecting System using OpenCV, Keras/TensorFlow, and Deep Learning.

    Jupyter Notebook 2

  2. Face-Detection-and-Recognition Face-Detection-and-Recognition Public

    Face Recognition Model using OpenCV and Deep Learning.

    Jupyter Notebook 6 6

  3. Handwritten-Alphabets-Recognition Handwritten-Alphabets-Recognition Public

    This code helps you recognize Handwritten English Alphabets using Convnets with an accuracy above 99%

    Jupyter Notebook 1

  4. Handwritten-Digit-Recognizer Handwritten-Digit-Recognizer Public

    Used MNIST dataset to recognize handwritten Digits. The model is suitable to run for real life examples for multiple digits in one image

    Jupyter Notebook 2

  5. Tweets-Classification-among-Hate-Speech-Offensive-Neither Tweets-Classification-among-Hate-Speech-Offensive-Neither Public

    Twitter Dataset was used to classify the tweets as Offensive, Hate Text, and Neither of them

    Jupyter Notebook 4 1

  6. Virtual-Pen Virtual-Pen Public

    Computer Vision Project: Virtual Pen using OpenCV and Python

    Jupyter Notebook 1 1