GGYIMAH1031

2016_POTUS_Election-Sentiment_Analysis_And_Topic_Modeling

Building_A_Spam_Filter

Building A Spam Filter Using the Naive Bayes Classifier

Conjoint_Analysis_Mobile_Service_Preferences

Image_Data_for_Formation_Recognition_-_Obstacle_Detection

This repository contains train and test data sets for building a convolutional neural network model, which is able to recognize different soil/rock formations as well as detect obstacles in a mining / construction environment. This effort is towards the development of smart, autonomous excavators which are able to recognize different excavating environments and adjust the digging strategy accordingly.

jupyter

Jupyter metapackage for installation, docs and chat

Market_Analysis-Predicting_Customer_Churn

MarketBasketAnalysis

Predicting-Tennis-Matches-Live-Betting-

Predictive_Maintenance_Analytics

A model for predicting imminent machine failure

Smart_Surveillance

An intelligent video surveillance system that flags suspicious activities.

GGYIMAH1031/Smart_Surveillance

An intelligent video surveillance system that flags suspicious activities.

GGYIMAH1031/Image_Data_for_Formation_Recognition_-_Obstacle_Detection

This repository contains train and test data sets for building a convolutional neural network model, which is able to recognize different soil/rock formations as well as detect obstacles in a mining / construction environment. This effort is towards the development of smart, autonomous excavators which are able to recognize different excavating environments and adjust the digging strategy accordingly.

GGYIMAH1031/Predicting-Tennis-Matches-Live-Betting-

GGYIMAH1031/Predicting_Tennis_Games_using_Elos_Rating

GGYIMAH1031/2016_POTUS_Election-Sentiment_Analysis_And_Topic_Modeling

GGYIMAH1031/Building_A_Spam_Filter

Building A Spam Filter Using the Naive Bayes Classifier

GGYIMAH1031/Conjoint_Analysis_Mobile_Service_Preferences

GGYIMAH1031/Market_Analysis-Predicting_Customer_Churn

GGYIMAH1031/MarketBasketAnalysis

GGYIMAH1031/Predictive_Maintenance_Analytics

A model for predicting imminent machine failure

GGYIMAH1031/awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

GGYIMAH1031/bobbleheadpromotion

GGYIMAH1031/Conjoint_Analysis

GGYIMAH1031/Data_Visualization_Project-How_America_Voted

An exploratory analysis of voting trends and the story behind the 2016 POTUS Election

GGYIMAH1031/DCEC

A python + Keras implementation of Guo et al.'s 2018 paper "Deep Clustering with Convolutional Autoencoders"

GGYIMAH1031/faster_rcnn

Faster R-CNN

GGYIMAH1031/GAN

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

GGYIMAH1031/hgpa

HGPA's Personal Notes

GGYIMAH1031/labelImg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

GGYIMAH1031/livy

Livy is an open source REST interface for interacting with Apache Spark from anywhere

GGYIMAH1031/object-recognition-sift-surf

GGYIMAH1031/Obstacle-Detection-and-Path-Planning

Processing an Image to find obstacles and the minimum path between two similar objects using OpenCV.

GGYIMAH1031/plumber

Turn your R code into a web API.

GGYIMAH1031/Project-A_Movie_Recommender_System

GGYIMAH1031/py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

GGYIMAH1031/pythonds

Data Structures package for Problem Solving with Algorithms and Data Structures using Python

GGYIMAH1031/spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

GGYIMAH1031/system-design-interview

System design interview for IT companies

GGYIMAH1031/tensorboard

TensorFlow's Visualization Toolkit

GGYIMAH1031/tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection