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    SweetViz: Automated Exploratory Data Analysis (EDA) in Python

    Written by Matt Dancho on August 3, 2021
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    SweetViz is a Python library that makes exploratory data analysis (EDA) fast and effective. Learn how to investigate feature relationships using correlation and associations in the automated SweetViz report.

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    ggforce: Make a Hull Plot to Visualize Clusters in ggplot2

    Written by Matt Dancho on July 27, 2021
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    ggforce is a ggplot2 extension that adds many exploratory data analysis features. In this tutorial, we'll learn how to make hull plots for visualizing clusters or groups within our data.

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    ggdist: Make a Raincloud Plot to Visualize Distribution in ggplot2

    Written by Matt Dancho on July 22, 2021
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    The ggdist package is a ggplot2 extension that is made for visualizing distributions and uncertainty. We'll show see how ggdist can be used to make a raincloud plot.

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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
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    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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