Posts

Blog posts contain concepts, methods, and example code on data science, statistics, and machine learning. All the posts with example code also accompany a Kaggle or Google Colab notebook for a live demo.
Date Title Author Reading Time
Sep 12, 2023 Frequentist vs. Bayesian Statistics Rohit Farmer 4 min
Aug 15, 2023 Linear regression for inferential and predictive modeling with examples in Julia Dhruva Sambrani 2 min
Jul 13, 2023 Linear regression for inferential and predictive modeling Rohit Farmer 24 min
Jan 9, 2023 Parametric hypothesis tests with examples in Python Rohit Farmer 2 min
Nov 30, 2022 Non-parametric hypothesis tests with examples in Julia Dhruva Sambrani 1 min
Nov 21, 2022 Type inference in readr and arrow Nic Crane 9 min
Nov 18, 2022 Non-parametric hypothesis tests with examples in R Rohit Farmer 10 min
Nov 17, 2022 Parametric hypothesis tests with examples in Julia Dhruva Sambrani 4 min
Nov 10, 2022 Parametric hypothesis tests with examples in R Rohit Farmer 14 min
Nov 3, 2022 Rules for naming files and folders that are cross platform and helpful in datascience Rohit Farmer 3 min
Oct 31, 2022 How to build a Singularity container for machine learning, data science, and chemistry Rohit Farmer 11 min
Oct 25, 2022 Sources of open data for statistics, data science, and machine learning Rohit Farmer 10 min
Oct 17, 2022 A case for using Google Colab notebooks as an alternative to web servers for scientific software Rohit Farmer 3 min
Oct 15, 2022 Classify the bitter or sweet taste of compounds Rohit Farmer 2 min
Oct 15, 2022 How to use Neovim or VIM editor as an IDE for R Rohit Farmer 11 min
Oct 14, 2022 How to download a shared file from Google Drive in R Rohit Farmer 1 min
Oct 5, 2022 Tweets from heads of governments and states Rohit Farmer 2 min
Oct 5, 2022 Data Transformation Rohit Farmer 12 min
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