Testing Strategies for CRO: A Practitioner’s Guide
Most CRO programmes fail due to improper test selection and sequencing rather than A/B testing difficulty. Effective strategies and frameworks, prioritising documented problems and structured…
Unsupervised Machine Learning: Clustering, Dimensionality Reduction, and Topic Modeling
This article explores supervised and unsupervised learning, focusing on clustering techniques like K-Means, hierarchical clustering, and dimensionality reduction methods such as PCA and NMF…
Supervised Machine Learning with scikit-learn
The article outlines a comprehensive guide to supervised learning using scikit-learn, detailing processes such as model fitting, evaluation, regularisation, hyperparameter tuning, and pipeline…
About Me
Hi, I'm Data Lad, welcome to my blog
Part blog, part notebook, part "I finally figured this out and need to write it down." Covering data science, analytics, statistics, and machine learning — one concept at a time.
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Anirban Banerjee, PHD
Writing doctorate level stuff
VP Analytics & AI
Dennis Demin
NLP and AI are his bread and butter
Engineer
Kajus Orlauskas
Full reporting and Insights
Engineer
Best Articles
Making Stylesheets Faster with CSS Minification
CSS minification reduces file size by removing unnecessary characters, improving website performance and SEO. It automates through tools, ensuring quicker downloads and lower bandwidth usage…
Styling Element Backgrounds with CSS
CSS background properties allow precise styling of the area behind content, enabling the use of colours, images, and gradients. Combining these effectively enhances design quality and functionality.
How to QA a OneTrust Consent Management Implementation
This guide outlines four methods to ensure compliance with consent rules for marketing and analytics tags. It combines tools like Tag Explorer, Google Tag Manager, browser network tab, and VPN…
Digital Marketing Monthly Dashboard
An Excel dashboard designed for marketing teams provides a clear monthly overview of KPIs across nine channels, enabling instant comparisons and insights into performance and customer…
Ongoing work
Feature Engineering and Preprocessing: Getting Data Ready for a Model
Effective machine learning relies on preparing data through meticulous preprocessing, involving cleaning, scaling, encoding, and feature engineering to ensure models can accurately learn and…
Working with GitHub: Collaboration, Workflow, and the Wider Ecosystem
Git is the version control software managing local files, while GitHub is the cloud platform offering collaboration tools. This guide explores using GitHub effectively, including repository…
SQL Joins, Set Operations, and Subqueries: Combining Data Across Tables
Databases use multiple related tables to efficiently store data. This guide explains how to combine tables using joins, set operations, and subqueries to extract meaningful insights from…
SQL Querying and Aggregation: Filtering, Grouping, and Summarising Data
SQL is an analytical tool that operates through a fixed sequence of clauses. Understanding this order enables effective querying, including data filtering, aggregation, and sorting, essential…
SQL Basics: Asking a Database for What You Want
This guide introduces SQL fundamentals: selecting columns, filtering duplicates, renaming outputs, creating reusable queries, and limiting results. Mastering these concepts enables effective…
Testing and Debugging CSS
This guide outlines essential techniques for testing and debugging CSS, emphasising cross-browser consistency, performance, and user experience. It offers strategies like visual inspections,…
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