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    Forecasting Many Time Series (Using NO For-Loops)

    Written by Matt Dancho on July 19, 2021
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    I'm super excited to introduce the new panel data forecasting functionality in modeltime. It's perfect for making many forecasts at once without for-loops.

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    easystats: Quickly investigate model performance

    Written by Matt Dancho on July 13, 2021
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    The easystats performance R package makes it easy to investigate the relevant assumptions for regression models. Simply use the check_model() function to produce a visualization that combines 6 tests for model performance.

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    R is for Research, Python is for Production

    Written by Matt Dancho and Jarrell Chalmers on July 12, 2021
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    Both R and Python are great. We’ll showcase some of the strengths of each language in this article by showcasing where the major development efforts are within each ecosystem.

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    sklearn: Make your first linear regression model in Python [Video]

    Written by Matt Dancho on July 6, 2021
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    Scikit Learn is a powerful package for making machine learning models. In this Python Tip, we cover how to make your first Linear Regression Model that adds a trendline to a plot.

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    Gentle Introduction to Forecasting with Modeltime [Video Tutorial]

    Written by Matt Dancho on June 29, 2021
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    A gentle introduction to our forecasting package, Modeltime. Modeltime extends the Tidymodels ecosystem for time series forecasting. Learn how to forecast with ARIMA, Prophet, and linear regression time series models.

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    plotnine: Make great-looking correlation plots in Python

    Written by Matt Dancho on June 22, 2021
    ...

    The plotnine library is a powerful python visualization library based on R's ggplot2 package. In this tutorial, we show you how to make a great-looking correlation plot.

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    Hyperparameter Tuning Forecasts in Parallel with Modeltime

    Written by Matt Dancho and Alberto González Almuiña on June 17, 2021
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    I'm super excited to introduce the new parallel processing functionality in modeltime. It's perfect for speeding up hyperparameter tuning of forecast models using parallel processing.

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    grafify: Make 5 powerful ggplot2 graphs quickly with R

    Written by Matt Dancho on June 15, 2021
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    grafify offers 19 plotting functions that make it quick and easy to make great-looking plots in R.

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    Siuba: Data wrangling with dplyr in Python

    Written by Matt Dancho on June 8, 2021
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    The siuba python library brings the power of R's dplyr and the tidyverse to Python. Gain access to functions like group_by(), mutate(), summarize(), and more!

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    Pandas Profiling: Make Exploratory Data Analysis Reports

    Written by Matt Dancho on June 1, 2021
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    Pandas Profiling is an awesome python package for Exploratory Data Analysis (EDA). It extends pandas for statistical summaries including correlations, missing values, distributions, and descriptive statistics. It's great for understanding Data Quality too!

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    gghalves: Make Half Boxplot | Half Dotplot Visualizations with ggplot2

    Written by Matt Dancho on May 25, 2021
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    gghalves is a new R package that makes it easy to compose your own half-plots using ggplot2

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    Course Launch: Python for Data Science Automation in 7 Days!

    Written by Matt Dancho on May 24, 2021
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    Python for Data Science Automation is an innovative course designed to teach data analysts how to convert business processes to python-based data science automations.

    Read More...
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