Pandas Dataframe Examples: Styling Cells and Conditional Formatting
09 May 2021 Some examples on how to highlight and style cells in pandas dataframes when some criteria is met. Useful for analytics and presenting data.
Read More ›Python Regular Expressions: Lookahead and lookbehind examples
09 May 2021 Examples for how and when to use lookaheads and lookbehinds in python regular expressions. These are ways to create matches that depend on what came before or what came after the pattern you want to match.
Read More ›Normalize Text for Natural Language Processing Tasks: Reference and Examples
02 May 2021 A couple of common preprocessing tasks you need in order to be able to use raw text in NLP tools.
Bash examples: redirecting output, error, input, etc
25 Apr 2021 Examples on how to redirect the ouutput of commands and scripts to files, STDOUT, STDERR, etc.
Read More ›Git-LFS: Reference and Examples
11 Apr 2021 Common tasks and examples related to using Github's LFS (Large File Storage) functionality
Read More ›project-review sequence-learning generative-models
Project Review: Generating Article Titles from Keywords
31 Mar 2021 Another project summary, this time for a client who needed an API-accessible ML system to generate text to be used as article titles, given a keyword as input.
Working with Functions in Bash: Reference and Examples
31 Mar 2021 Simple examples and common use cases for functions in shell scripting using bash (bourne-again shell).
Read More ›Markdown cheatsheet and Reference: Using Images
31 Mar 2021 Quick cheatsheet with common fixes to use images in markdown documents, such as github READMEs.
Read More ›gradient-boosting feature-engineering
Features in Boosted Tree Algorithms: Engineering, Encoding, Interaction, etc
30 Mar 2021 How to encode and engineer features correctly for use in tree boosting algorithms? How are features allowed to interact and sort of information do data scientists need to provide via manual engineering? How?
Read More ›paper-summary model-evaluation
Paper Summary: The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
29 Mar 2021 Summary of the 2015 article "The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets" by Saito and Hemsmeier.