Finding Errors in Data - Data Validation
Explore methods to detect & fix errors in data, including validation, visualizations, statistical tests, cleaning techniques, machine learning & data...
Explore methods to detect & fix errors in data, including validation, visualizations, statistical tests, cleaning techniques, machine learning & data...
Overview of the available tools and methods for schema validation in pandas, examplary code snippets and recommendation for when to use given tool.
Learn about the evaluation of interpretability in machine learning with this guide. Discover different levels and methods for assessing the explainability of models.
Learn about metrics used to compare histograms with examples of how to calculate them in python. From Chi-Squared distance to Kullback-Leibler divergence...
Description of GNU utils and other less standard tools that helps with processing data from CLI or with shell scripts.
Using puzzle on tracing the high profile spy as excuse to showcase Markov Chains and demonstrate usage and properties e.g. Stationary distribution
On the GitHub project Awesome Zsh plugins you can find 1700+ links to plugins, themes, and Zsh plugin managers/frameworks. The number of tools listed on...
This post proposes a 4-step path for learning Bayesian methods. The first step is going through the book "Bayesian methods for hackers", second, using...
This post describe evaluation metrics used in Kaggle competitions where problem to solve is has regression nature. Eight different metrics are described,...
Guide on how to install TensorFlow cpu-only version - the case for machines without GPU supporting CUDA. Step-by-step procedure starting from creating conda...