@temmy7

Week 18 at DataraFlow: Can Data Really Tell You Who Will Stay, Buy or Commit Fraud

3d ago · 4 min read · What if you could look at a dataset and predict human behaviour; who will buy, who will leave and who might be acting suspiciously? Sounds powerful, right? That’s what I explored this week during my D

Week 17 at DataraFlow: When Models Seem Too Perfect… Should You Trust Them?

4d ago · 4 min read · What would you do if your machine learning model gave you 100% accuracy? Celebrate? Submit? Or… pause? This week at DataraFlow, I found myself staring at results that looked too good to be true. And t

Week 16 at DataraFlow: When Do Models Start Earning Your Trust?

Mar 1 · 6 min read · How do you know when a machine learning model is actually reliable… and not just lucky? This week was less about building models for the sake of it and more about something deeper: evaluation, compari

Week 19 at DataraFlow: Can Machines Discover Patterns We Don’t See?

Feb 25 · 5 min read · What if the most valuable insight in your dataset isn’t something you explicitly ask for, but something the algorithm quietly discovers on its own? That question defined my Week 19 at DataraFlow. This

Week 15 at DataraFlow: When Does a Straight Line Stop Being Enough?

Feb 23 · 5 min read · What happens when reality refuses to fit inside a straight line? Up until now, most of my models had assumed something comforting that relationships between variables could be approximated with simple