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No 1: Forecasting Time Series ARIMA Models
Time Series [Video Tutorial]

Making multiple ARIMA Time Series models in R used to be difficult. But, with the purrr nest() function and modeltime, forecasting has never been easier. Learn how to make many ARIMA models in this tutorial.This article was written by Business Science’s very own Matt Dancho.

No 2: Python and R – Part 2: Visualizing Data with Plotnine
Python and R

In this post, we load our cleaned up big MT Cars data set in order to be able to refer directly to the variable without a short code or the f function from our datatable. This article was written by David Lucey of Redwall Partners.

No. 3: Detect Relationships With Linear Regression
Tidyverse Functions

Detect relationships with Group Split and Map, my data science SECRET TOOLS. Combining them will help us scale up to 15 linear regression summaries to assess relationship strength & combine in a GT table. Written by Matt Dancho.

No. 4: Time Series Demand Forecasting
Time Series

Learn how to forecast brazilian commodities demand using R. Demand Forecasting is a technique for estimation of probable demand for a product or services. It is based on the analysis of past demand for that product or service in the present market condition. Written by Luciano Oliveira Batista.

No. 5: A/B Testing with Machine Learning – A Step-by-Step Tutorial
Throwback

Here’s our throwback article of the month. With the rise of digital marketing led by tools including Google Analytics, Google Adwords, and Facebook Ads, a key competitive advantage for businesses is using A/B testing to determine effects of digital marketing efforts. Learn to use A/B testing to determine whether changes in landing pages, popup forms, article titles, and other digital marketing decisions improve conversion rates. Written by Matt Dancho.

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