zero-aysd
I am an aspiring Mechanical Engineer actively seeking opportunities in Machine Learning and Deep Learning domain
Pinned Repositories
american_sign_language
bark_docker_app
CNN_Devnagri
Devanagri Characters Handwritten Recognition using Keras, Tensorflow as backend, Flask for serving api and JQuery as frontend. Deployed via PaaS(Heroku)
CodingChallenges
challenge solutions
DataStructures
EDA_Mailbox
Exploratory Data Analysis of Gmail Mailbox with pandas, numpy, matplotlib, seaborn
EDA_of_Fuel_efficiency_data
Exploratory data analysis of Fuel economy data of result of vehicle testing done at the Environmental Protection Agency's National Vehicle and Fuel Emissions Laboratory in Ann Arbor, Michigan, and by vehicle manufacturers with oversight by EPA.
Face-Mask-Detector-using-MobileNetV2
This is a simple image classification project trained on the top of Keras/Tensorflow API with MobileNetV2 deep neural network architecture having weights considered as pre-trained 'imagenet' weights. The trained model (mask-detector-model.h5) takes the real-time video from webcam as an input and predicts if the face landmarks in Region of Interest (ROI) is 'Mask' or 'No Mask' with real-time on screen accuracy.
Naive_Bayes_DNA_squencing_classification
Sequencing of DNA strings using Naive Bayes Classifier
random_array_gen
zero-aysd's Repositories
zero-aysd/CNN_Devnagri
Devanagri Characters Handwritten Recognition using Keras, Tensorflow as backend, Flask for serving api and JQuery as frontend. Deployed via PaaS(Heroku)
zero-aysd/american_sign_language
zero-aysd/bark_docker_app
zero-aysd/CodingChallenges
challenge solutions
zero-aysd/DataStructures
zero-aysd/EDA_Mailbox
Exploratory Data Analysis of Gmail Mailbox with pandas, numpy, matplotlib, seaborn
zero-aysd/EDA_of_Fuel_efficiency_data
Exploratory data analysis of Fuel economy data of result of vehicle testing done at the Environmental Protection Agency's National Vehicle and Fuel Emissions Laboratory in Ann Arbor, Michigan, and by vehicle manufacturers with oversight by EPA.
zero-aysd/Face-Mask-Detector-using-MobileNetV2
This is a simple image classification project trained on the top of Keras/Tensorflow API with MobileNetV2 deep neural network architecture having weights considered as pre-trained 'imagenet' weights. The trained model (mask-detector-model.h5) takes the real-time video from webcam as an input and predicts if the face landmarks in Region of Interest (ROI) is 'Mask' or 'No Mask' with real-time on screen accuracy.
zero-aysd/Naive_Bayes_DNA_squencing_classification
Sequencing of DNA strings using Naive Bayes Classifier
zero-aysd/random_array_gen
zero-aysd/utils
misc and research files
zero-aysd/zero-aysd
Config files for my GitHub profile.