Pinned Repositories
ballr
Interactive NBA Shot Charts with R and Shiny
causal-impact-keepcup
Quantifying the impact of a documentary on KeepCup search volume
ETF-SIM
A Single Index Model shiny app for Australian ETFs
ggplot-python
ggplot examples in Python
NBA-Shot-Charts
Create NBA shot charts using data scrapped from stats.nba.com and R package ggplot2.
NRL-Heatmap
Creates a dynamic heatmap in R of NRL player based on individual stats and features
PLS-Path-NBA
PLS Path analysis of NBA teams
Surf-PCA
Maiae's Repositories
Maiae/NBA-Shot-Charts
Create NBA shot charts using data scrapped from stats.nba.com and R package ggplot2.
Maiae/ETF-SIM
A Single Index Model shiny app for Australian ETFs
Maiae/Surf-PCA
Maiae/ballr
Interactive NBA Shot Charts with R and Shiny
Maiae/ggplot-python
ggplot examples in Python
Maiae/NRL-Heatmap
Creates a dynamic heatmap in R of NRL player based on individual stats and features
Maiae/PLS-Path-NBA
PLS Path analysis of NBA teams
Maiae/causal-impact-keepcup
Quantifying the impact of a documentary on KeepCup search volume
Maiae/cba-pocket-portfolios
Portfolios from Pocket App
Maiae/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/
Maiae/fast-frugal-decision-trees
Models using FFTrees package
Maiae/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.
Maiae/RaffleDrawApp
A raffle draw app built in Shiny
Maiae/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.
Maiae/SankeyViz
Configuration files for Sankey diagrams
Maiae/schneiderman
Predictive analytics for daily fantasy basketball.
Maiae/Tseries-Forecast
Time series forecast projects in R