Ed Maia (Maiae)

Maiae

Geek Repo

Location:Sydney, Australia

Home Page:http://www.thedatagame.com.au

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Ed Maia's repositories

NBA-Shot-Charts

Create NBA shot charts using data scrapped from stats.nba.com and R package ggplot2.

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ETF-SIM

A Single Index Model shiny app for Australian ETFs

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ballr

Interactive NBA Shot Charts with R and Shiny

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ggplot-python

ggplot examples in Python

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NRL-Heatmap

Creates a dynamic heatmap in R of NRL player based on individual stats and features

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PLS-Path-NBA

PLS Path analysis of NBA teams

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causal-impact-keepcup

Quantifying the impact of a documentary on KeepCup search volume

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cba-pocket-portfolios

Portfolios from Pocket App

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ChannelAttribution

:exclamation: This is a read-only mirror of the CRAN R package repository. ChannelAttribution — Markov Model for the Online Multi-Channel Attribution Problem. Homepage: http://www.slideshare.net/adavide1982/markov-model-for-the-multichannel-attribution-problem http://www.lunametrics.com/blog/2016/06/30/marketing-channel-attribution-markov-models-r/ http://analyzecore.com/2016/08/03/attribution-model-r-part-1/

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fast-frugal-decision-trees

Models using FFTrees package

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maiae.github.io

:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

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RaffleDrawApp

A raffle draw app built in Shiny

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Robyn

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) code from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.

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SankeyViz

Configuration files for Sankey diagrams

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schneiderman

Predictive analytics for daily fantasy basketball.

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Tseries-Forecast

Time series forecast projects in R

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