Unfortunately, scikit-learn Python library Class Imputer is now deprecated and the replacement does not include an axis parameter. Here’s a work-around.
You attempt to open a Jupyter Notebook in your GitHub repository and get the dreaded ‘Sorry, something went wrong. Reload?’ message. Don’t dispair, use nbviewer!
Interested in learning Machine Learning (with Python)? Start with Kaggle’s ultra-practical and straight-forward ‘Intro to Machine Learning’ tutorial. It only takes 3 hours.
A new AWS account is granted, by default, root privileges. That means it has access to everything. Best practices dictate we avoid using root privileges whenever possible: Enable Multi-Factor Authentication, create and use an Administrator user account instead of root. Also, setup billing alerts to avoid surprise charges.
An R function with a parameter that accepts a data.frame column can’t evaluate the column argument until it is first ‘quoted’, followed by an ‘unquote’ within the dyplr function. ‘Quote’ a column using enquo(), then ‘unquote’ it using !!.
I stepped up to the Storytelling with Data Challenge for July 2019: identify data that makes sense to plot in a radial view and visualize it.
I love great visualizations, but does that mean I should exclusively commit myself to the Art and Science of Viz? Is being a friendly connoisseur good enough?
A little white space between R Markdown sections gives the reader a little pause in the story before changing the subject otherwise all the cells get smooshed together by default and it ends up looking like one long run-on sentence.
To emphasize value differences in a bar chart, using gradient colors is a nice option. ggplot makes it easy with scale_fill_gradient2().
Today I completed the Udacity Deep Learning Nanodegree (DLND) program. The program included submitting 5 projects for review, which is the best part because we get our hands dirty. AWS (Amazon Web Services) was introduced, and we got to use AWS SageMaker for free (with Education ‘credit’). All-in-all I feel like I’ve been introduced to … [Read More]
Writing data to a file using write.csv failes to retain column data types. A better way to save/restore data objects to/from files is by using RDS and RData.
Instead of a cumbersomely nested ifelse statement, use dplyr’s mutate and case_when functions instead.