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amlpipeliner

An extension of AutoMLPipeline using R libraries for ML and Preprocessing elements

analisis_numerico

analytics-competition

Work related to an analytics competition that I took part in

analytics-connect-intermediate-r

Intermediate R (slides for Analytics Connect '18)

analytics-edge

My notes and solutions to homework of The Analytics Edge course on edX

analyticscourse

Prework and In Course Assignments for Analytics Course

analyticssummit19

Material for 2019 Analytics Summit Machine Learning with R Training

analyzing-visualizing-data-excel

andeek.github.io

animation

A gallery of animations in statistics and utilities to create animations

ann-customerchurn

This artificial neural network predicts whether a customer will stay with the bank or leave the bank in the next year.

ann-for-macroeconomic-data-analysis

The analysis and prediction of macroeconomic time-series is a factor of great interest to national policymakers. However, economic analysis and forecasting are not simple tasks due to the lack of a precise model for the economy and the influence of external factors, such as weather changes or political decisions. Our research is focused on Spanish speaking countries. In this thesis, we study different types of neural networks and their applicability for various analysis tasks, including GDP prediction as well as assessing major trends in the development of the countries. The studied models include multilayered neural networks, recursive neural networks, and Kohonen maps. Historical macroeconomic data across 17 Spanish speaking countries, together with France and Germany, over the time period of 1980-2015 is analyzed. This work then compares the performances of various algorithms for training neural networks, and demonstrates the revealed changes in the state of the countries’ economies. Further, we provide possible reasons that explain the found trends in the data.

anomaly_detection

anotherwebsite

anova-regression

Anova and regression equality

anu.macroreadinggroup.code-documentation

Presentation for ANU Macro Reading Group on Documentation in Python

anymod_example_model

Example for version-controlled development and sharing of models using AnyMOD

aoapc-bac2nd

Source codes for book <<<BeginningAlgorithmContests>> Second edition

aoc2017

apes

APES - Advice for Problems in Environmental Statistics

apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

app-cherry_picker

A Shiny app for mapping School specific variables by Local Education Authority with Leaflet in R

app-forecast

Time series forecasting for common inflators and economic indices using the forecast package in R.

applied-analytics-case-studies-sas-r

Source Code for 'Applied Analytics through Case Studies Using SAS and R' by Deepti Gupta

applied-econometrics

DSGE/CGE/VAR/DID/RD/IV/Panel Data

applied-econometrics-and-time-series---project

Applied Econometrics and Time Series - Project

applied-longitudinal-data-analysis-with-brms-and-the-tidyverse

Translating ML into Bayes, one line at a time

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

applied-metrics

Code to support work for ARE213: Applied Econometrics at UC Berkeley

applied-ml

Code and Resources for "Applied Machine Learning"