Pinned Repositories
angular-essential-training
B-068
Hackathon submission
c4.5-compiler
Deeplearning_Specialization
Assignments and documents for Andrew Ng Deeplearning Specialization on Coursera
DO180-apps
DO180 Repository for Sample Applications
DO288-apps
ds-task
Pre-interview task for Data Scientist candidates
DSND_Term1
Contains files related to content and project of DSND
Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Finding-Donors-for-CharityML
Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained & tested several supervised machine learning models on preprocessed census data to predict donation likelihood. Selected best model based on accuracy, modified F-score metric, & algo efficiency.
mohawahab's Repositories
mohawahab/svd_exp1
Software vulnerability detection using machine learning through source codes (Exp-1). Replication of https://arxiv.org/abs/1807.04320.
mohawahab/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
mohawahab/DO288-apps
mohawahab/DO180-apps
DO180 Repository for Sample Applications
mohawahab/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
mohawahab/angular-essential-training
mohawahab/Deeplearning_Specialization
Assignments and documents for Andrew Ng Deeplearning Specialization on Coursera
mohawahab/neural-networks-and-deep-learning
This is my assignment on Andrew Ng's course “neural networks and deep learning”
mohawahab/ds-task
Pre-interview task for Data Scientist candidates
mohawahab/udacity-dsnd-project_5-disaster-response-pipeline
mohawahab/udacity-dsnd-project_2-deep-learning-image-classifier
mohawahab/udacity-dsnd-project_3-identify-customer-segments
mohawahab/Udacity-DSND-Capstone-Data-Analysis-with-Spark
Machine learning on a large dataset using PySpark
mohawahab/DSND_Term1
Contains files related to content and project of DSND
mohawahab/B-068
Hackathon submission
mohawahab/Finding-Donors-for-CharityML
Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained & tested several supervised machine learning models on preprocessed census data to predict donation likelihood. Selected best model based on accuracy, modified F-score metric, & algo efficiency.
mohawahab/c4.5-compiler