What 300 live Booking.com ads reveal about their Google and Meta strategy
Booking.com spends more on performance marketing than almost any company in travel. You can't see their budget, but you can see their ads: Google an…
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PCAD-31-02 in Code: Validation Checks and Safe sqlite3 Queries Behind 30 of the 48 Items
The Python Institute PCAD-31-02 exam has 48 items, and 30 of them come from two syllabus blocks: Data Acquisition and Pre-Processing (14) and Progra…
From Raw Hourly Data to a Validated Model: A Pandas and scikit-learn Walkthrough
Hourly time-series data rarely arrives clean. Hours go missing, timestamps repeat, sensors report impossible values, and some series start years aft…
Closing the Loop in Healthcare AI: From Prediction to Verified Action
Healthcare AI evaluation often focuses on model outputs, including discrimination, calibration and predictive performance. These measures are import…
Backtesting a Polymarket copy trading bot without fooling yourself
Copy trading is the most common bot idea on Polymarket: find the wallets that win and buy what they buy. We tested it on five sports (MLB, NFL, coll…
Secret Scanning Production Notes: Triage, Liveness, and Reports That Get Paid
Secret-scanning a target's public footprint sounds simple: grep public code for key patterns, alert on new hits. The first production week will teac…
I locked my test criteria before running them. My trading bot failed.
I built a Python paper-trading bot for crypto spot markets. The backtest looked fine. Then I tested it the strict way, and it fell apart. This is wh…
Your AI Code Can Be Elegant Too
As the Machine Learning Engineering Manager at an AI-powered SaaS company, I get a front-row seat to the machine learning (ML) code written by data…
The Problem With AI Football Predictions Isn't the AI
By XG Mind AI (xgmind.com) A match preview lands in your feed with a confident 2–1 call, a fluent explanation of why the away captain's absence brea…
I built maarg: Python experiment tracking with zero logging boilerplate
Every time I work on quick machine learning experiments or parameter sweeps, I hit the same workflow friction: experiment tracking instrumentation .…
Building an Interactive Excel Dashboard for E-commerce Product Analysis: A Case Study of Jumia Products
E-commerce data can look simple at first: product name, price, discount, reviews and rating. But turning a raw export into something a seller can ac…
Top 20 Data Science Project Ideas for Your Portfolio 2026
Recruiters evaluating data science candidates increasingly look past certifications and coursework alone, focusing instead on a genuine portfolio of…
The split that ran backwards
From an August repair until 2026-09-14, my engine adjusted almost every stock split in the wrong direction, and every test passed. The data was righ…
Google Trends API in Python without pytrends (2026 guide)
pytrends was archived in April 2025. If you still depend on it, you've probably met this: pytrends.exceptions.TooManyRequestsError: The request fail…
Building an Enterprise Climate Intelligence OS
How We Won 1st Place at CodeFest Datathon 2026: Building an Enterprise Carbon Intelligence OS Winning 1st place at the SLIIT CodeFest Datathon 2026…
My crypto backtest had a sharpe of 13.4. Then I added trading costs
I was not trying to prove a grand theory about crypto. I was testing simple, falsifiable baselines and looking for one result worth a second experim…
Root Cause Analysis Charts: How to Find Why a Metric Dropped
Root cause analysis leans on a different set of charts than reporting does. Seven do most of the work, and each one answers a single diagnostic ques…
Five results: I spent time proving splines don't help trajectory databases
If you work with GPS tracks, this idea shows up sooner or later: why store a trajectory as a polyline of thousands of points when a vehicle moves sm…
I wrote down the pass mark before the test. Then I failed it.
A trend rule, two markets, one day of work, and three moments where my own checking was the thing that was broken. Code and data: trend_daily.py , s…
# Power BI Data Modelling: A Great Path to Great Analysis
Data Modeling in Power BI Introduction At a time when data is rapidly generated by different activities ranging from experiments to business, more o…
getqueryly: MCP Server and API for AI Data Analysis (CSV to Charts in Minute)
GetQueryly has an MCP server and API for AI data analysis. Upload a CSV, Excel, JSON, PDF, or Parquet file, ask in plain English, and get charts wit…
Your Backtest Can Pass for the Wrong Reason: 5 Python Checks Before Deployment
A backtest does not need to crash to be broken. The dangerous version runs cleanly, produces a smooth equity curve, and reports a Sharpe ratio that…
Finding Exoplanets in Noisy Data with Machine Learning
We Built an AI to Hunt Earth-Like Planets — Here's How Finding planets around other stars is hard. Kepler gives us raw light curves — brightness mea…
Designing a Production-Ready Data Science Pipeline: From Raw Events to Monitored Models
A model is only one artifact in a production data science system. The harder engineering problem is creating a reliable path from changing source da…
Correct score, BTTS and Over/Under probabilities with Dixon-Coles: what I learned building it for MLS and Liga MX
Most football prediction pages give you three numbers — home, draw, away — and no way to check where they came from. I wanted the opposite: one mode…
Sentiment Analysis of Apple Tweets: An NLP Approach
The Business Challenge When Apple launches a new product, social media explodes with customer reactions. Support teams get overwhelmed, marketing se…
"You Got a Labeled Dataset. Here's How to Actually Verify It's Trustworthy."
Worked example: Suppose you're spot-checking a batch of vehicle bounding boxes against a small gold-standard subset. One box overlaps its reference…
Craigslist's JSON-LD has no ID field — we join 290 of 325 listings by title alone
Quick answer Craigslist search pages ship two copies of every listing: a static HTML list, and a JSON-LD <script> block with images, currency,…
Understanding Neural Networks and The Core Idea Behind Them
Introduction Neural networks work by building a system inspired by the human brain that can learn how to solve the problem by looking at examples.If…
Our regex found 199 records in a 1,723-record corpus and reported no errors
We maintain a corpus of 456 role-specific resume examples in TypeScript. Someone asked me what a good bullet point actually looks like, and rather t…