Matt ChapmaninTowards Data ScienceHow to Turn Your AI Idea Into a Scalable Product: A Technical GuideTime to leave localhost behind and start acquiring usersJul 23Jul 23
Matt ChapmaninTowards Data ScienceData Science for Schools, Part 2: Student Electives Allocation with PythonTime to stop relying on `allocations_final_FINALv2.xlsx`Jun 243Jun 243
Matt ChapmaninTowards Data ScienceData Science for Schools, Part 1: Automate Timetabling with Python and OR-ToolsA free, human-in-the-loop way to organise cover for staff absencesJun 121Jun 121
Matt ChapmaninTowards Data ScienceDeploy a LightGBM ML Model With GitHub ActionsA beginner’s guide to getting out of Jupyter notebooks and deploying ML modelsJun 10Jun 10
Matt ChapmaninTowards Data ScienceThe Predictable Rise of Full-Stack Data ScienceGone are the days when we could just focus on “building the model”Jun 413Jun 413
Matt ChapmaninTowards Data ScienceData Scientists Work in the Cloud. Here’s How to Practice This as a Student (Part 2: Python)Because data scientists don’t write production code in the Udemy code editorMay 292May 292
Matt ChapmaninTowards Data ScienceTwo Common Pitfalls to Avoid When Doing Cross-ValidationAnd the techniques you need to combat themMay 244May 244
Matt ChapmaninTowards Data ScienceData Scientists Work in the Cloud. Here’s How to Practice This as a Student (Part 1: SQL)Forget local Jupyter Notebooks and bubble-wrapped coding courses – here’s where to practice with real-world cloud platforms. Part 1: SQLMay 81May 81
Matt ChapmaninTowards Data ScienceFrom Social Science to Data Science8 years ago I started my bachelor’s degree in Geography. Now I’m a Data Scientist; this is the story of how (and why) I’ve got hereMay 27May 27
Matt ChapmaninLevel Up CodingLearn Mathematical Optimization in Python with Fantasy FootballCompanies like Amazon and Meta want Data Scientists with this skill; here’s a beginner-friendly tutorial with everything you need to knowFeb 203Feb 203