tejasmohanayyar Goto Github PK

apparel-detection-using-detectron2-pytorch

automating--incometax-record-keeping-system

Keeping records of each transaction is difficult and in my house we do it by taking screenshots whenever we transfer funds. This project takes those screenshots and converts them into an excel worksheet.

buyer-s-time-prediction-challenge-machinehack

dat8

General Assembly's 2015 Data Science course in Washington, DC

data-scientist-salary-prediction-in-india

dockship_hackathon_credit_card_fraud

exploratory-data-analysis-projects

EDA for domains which include Sales, HR, Environmental Analysis, Sports,fittness and Healthcare.

face-mask-detection-using-google-colab

COVID-19: Face Mask Detector with OpenCV, Keras/TensorFlow, and Deep Learning

face-mask-detection-using-tfod-faster-rcnn

Since the pandemic, wearing masks has become mandatory. This project is a prototype mask detector using the Faster-RCNN framework. It would detect whether a person is wearing a mask or not.

gans-awesome-applications

Curated list of awesome GAN applications and demo

hackathons

interest_rate_prediction_classification_and_unsupervisedml

keras-applications

Reference implementations of popular deep learning models.

machine-learning-projects

ml-class

Machine learning lessons and teaching projects designed for engineers

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

numpy-100

100 numpy exercises (with solutions)

personal-protective-equipment-detection-using-tfod

This project uses the infamous Faster-RCNN framework available as an API from Tensorflow's model zoo library. Annotated over 600 images using label img and trained the model using cloud GPU's to predict whether a person is wearing his PPE or not.

review-scrapper

simplehtr

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

stock-market-articles-sentiment-analysis-nlp-mongodb

This project aims to scrape a news website and use techniques like text-preprocessing from the NLTK library, performing TF-IDF vectorization and finally creating a clustering model to get sentiments of the market.

tejasmohanayyar

Config files for my GitHub profile.

tejasmohanayyar.github.io

webscrapping-and-predicting-mumbai-property-prices

Using details entered by the end user via the deployed app, this project predicts the price of their property. Webscrapping data from a realty website using selenium, perform feature engineering, Exploratory Data Analysis, Model building and using the bootstrap framework to create frontend for the website.