adeshola Goto Github PK

anomalydetection

Anomaly Detection with R

breakoutdetection

Breakout Detection via Robust E-Statistics

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

courses

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

dbt-streamlit

devoops

DevOOPS Bootstrap 3 Admin theme

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

flexedtoolkit

Automatically exported from code.google.com/p/flexedtoolkit

googlevis

Interface between R and the Google Chart Tools

machine_learning

Machine learning library for Node.js

meteor

Meteor, an ultra-simple, database-everywhere, data-on-the-wire, pure-Javascript web framework.

meteor-tabular

Reactive datatables for large or small datasets

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mlr

mlr: Machine Learning in R

mongodb-rest

REST Server for MongoDB (using node.js)

mymagicnet

Deep Learning in Javascript. Port of karpathy MagicNet client.

python_scripts

r-shinyapp-tutorial

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

sf-samples

Sample files, code snippets and downloads for Snowflake labs and tutorials.

streamlit_prophet

Deploy a Streamlit app to train, evaluate and optimize a Prophet forecasting model visually.