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anintroductiontodeeplearning

Code and accompanying data used in my book "An Introduction to Deep Learning"

automated_youtube_channel

Automated youtube that can scrape content, edit a compilation, and upload to youtube daily.

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

bayesianopt

betalink

MIRROR - beta diversity of species interaction networks

betanetwork

Exploratory Analysis of Ecuador Network Betadiversity

bettercrossvalidation

Companion code for YouTube video: https://www.youtube.com/watch?v=Og7CGAfSr_Y&feature=youtu.be

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

blender-3d-by-example-second-edition

Blender 3D By Example Second Edition, published by Packt

blogscripts

Repository for code used in my blog posts

cat-dog-flask

cat dog neural network implemented into website using flask

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

cmder

Lovely console emulator package for Windows

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cumulative-table-design

This repository helps teach people how to correctly define and create cumulative tables!

customer_churn_analysis

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.

cv

My CV, created in LaTeX

data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

data-engineering-with-aws-2nd-edition

Data Engineering with AWS, 2nd edition - Published by Packt

dataviz

A book covering the fundamentals of data visualization.

deep-learning-in-r-using-keras-and-tensorflow-

Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition

deepmeerkat

Background subtraction and image classification for stationary cameras in ecological videos.

django

The Web framework for perfectionists with deadlines.

easy-leaf-area

expressive-resume

A beautiful resume/cover letter LaTeX template pair that are extraordinarily easy to use.

feature-engineering-live-sessions

h2o

For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)

hashcat

World's fastest and most advanced password recovery utility

hcxdumptool

Small tool to capture packets from wlan devices.

hcxtools

Portable solution for capturing wlan traffic and conversion to hashcat formats (recommended by hashcat) and to John the Ripper formats. hcx: h = hash, c = capture, convert and calculate candidates, x = different hashtypes