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core

The Open Source Computer Aided Dispatch (CAD), Personnel, Shift Management, Automatic Vehicle Location (AVL) and Emergency Management Platform that powers Resgrid.com

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datana

datasciencecoursera

datasharing

The Leek group guide to data sharing

dockerfiles

earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

flower-recognition

🌺🌻 Using state-of-the-art pre-trained Deep Neural Net architectures for Flower Species Recognition

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

getting-and-cleaning-data-project

getting_-_cleaning_data

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

image-forgery-detection-using-deep-learning

Image Forgery Detection using Deep learning Graduation project

image-forgery-detection-using-deeplearning-by-recompressing-the-images

introtodatascience

GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.

mantranet-pytorch

Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

project1

r-tutorials

Code from the r tutorial on my blog

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

streamlit-geospatial

A multi-page streamlit app for geospatial

test_1

trafficcruising-dssg2017

Public Repository for Traffic Cruising DSSG 2017 Project

twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

zmpdswr

Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)