mohawahab Goto Github PK

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.

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

svd_exp1

Software vulnerability detection using machine learning through source codes (Exp-1). Replication of https://arxiv.org/abs/1807.04320.

udacity-dsnd-capstone-data-analysis-with-spark

Machine learning on a large dataset using PySpark

udacity-dsnd-project_2-deep-learning-image-classifier

udacity-dsnd-project_3-identify-customer-segments

udacity-dsnd-project_5-disaster-response-pipeline