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    Build and Evaluate A Logistic Regression Classifier

    Written by Matt Dancho on December 22, 2020
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    Logistic regression is a simple, yet powerful classification model. In this tutorial, learn how to build a predictive classifier that classifies the age of a vehicle.

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    Written by Matt Dancho on December 17, 2020
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    Learn R for business - Data science for business is the future of business analytics. Here are 6 reasons why R is the right choice.

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    Interactive Principal Component Analysis in R

    Written by Matt Dancho on December 15, 2020
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    Web Scraping and Analyzing Home Rentals (Python + R)

    Written by David Lucey on December 11, 2020
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    Scraping Long Beach Island Summer Rentals with Python and the R reticulate package.

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    How To Make Geographic Map Visualizations In R

    Written by Matt Dancho on December 8, 2020
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    If you are explaining data related to geography or just want to visualize by latitude / longitude location, you need to know ggplot2 and the tidyverse for making maps.

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    Top 5 Best Articles on R for Business [November 2020]

    Written by Matt Dancho on December 4, 2020
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    Each month, we release tons of great content on R for Business. These are the 5 Top Articles in R for Business over the past month. We have some great ones in November 2020.

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    Docker for Data Science: An Important Skill for 2021 [Video]

    Written by Matt Dancho on December 3, 2020
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    Organizations want Data Science, Cloud, and Apps. Here's how Docker plays a part in the essential skills of 2021.

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    Analyzing Solar Power Energy (IoT Analysis)

    Written by Nathaniel Whitlock on December 1, 2020
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    Solar power is a form of renewable clean energy that is created when photons from the sun excite elections in a photovoltaic panel, generating electricity. The power generated is usually tracked via sensor with measurements happening on a time based cadence.

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    Time Series Demand Forecasting

    Written by Luciano Oliveira Batista on November 25, 2020
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    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.

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    Forecasting Time Series ARIMA Models (10 Must-Know Tidyverse Functions #5)

    Written by Matt Dancho on November 24, 2020
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    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.

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    Detect Relationships With Linear Regression (10 Must-Know Tidyverse Functions #4)

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    Group Split and Map are SECRET TOOLS in my data science arsenal. Combining them will help us scale up to 15 linear regression summaries to assess relationship strength and combine in a GT table.

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    Python and R - Part 2: Visualizing Data with Plotnine

    Written by David Lucey on November 16, 2020
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    In this post, we start out where we left off in 'Python and R - Part 1: Exploring Data with Datatable'. We load our cleaned big MT Cars data set in order visualize the data with Python plotnine.

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