---
title: "Temitope Adereni (@temmy7) | Hashnode"
description: "If I can learn data science, so can you. Read the latest articles by Temitope Adereni on Hashnode."
url: "https://hashnode.com/@temmy7"
---

@temmy7

# Temitope Adereni

@temmy7 · Joined September 2025

If I can learn data science, so can you.

### [Week 18 at DataraFlow: Can Data Really Tell You Who Will Stay, Buy or Commit Fraud](https://datababe.hashnode.dev/week-18-at-dataraflow-can-data-really-tell-you-who-will-stay-buy-or-commit-fraud?utm_source=hashnode&utm_medium=feed)

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

4 min read · [datababe.hashnode.dev](https://datababe.hashnode.dev/week-18-at-dataraflow-can-data-really-tell-you-who-will-stay-buy-or-commit-fraud?utm_source=hashnode&utm_medium=feed)

[Mar 31](https://hashnode.com/posts/week-18-at-dataraflow-can-data-really-tell-you-who-will-stay-buy-or-commit-fraud/69cbeeccc1e86567d756ad4b)

### [Week 17 at DataraFlow: When Models Seem Too Perfect… Should You Trust Them?](https://datababe.hashnode.dev/week-17-at-dataraflow-when-models-seem-too-perfect-should-you-trust-them?utm_source=hashnode&utm_medium=feed)

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

4 min read · [datababe.hashnode.dev](https://datababe.hashnode.dev/week-17-at-dataraflow-when-models-seem-too-perfect-should-you-trust-them?utm_source=hashnode&utm_medium=feed)

[Mar 31](https://hashnode.com/posts/week-17-at-dataraflow-when-models-seem-too-perfect-should-you-trust-them/69cb84284b49f4a8e9166069)

### [Week 16 at DataraFlow: When Do Models Start Earning Your Trust?](https://datababe.hashnode.dev/week-16-at-dataraflow-when-do-models-start-earning-your-trust?utm_source=hashnode&utm_medium=feed)

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

6 min read · [datababe.hashnode.dev](https://datababe.hashnode.dev/week-16-at-dataraflow-when-do-models-start-earning-your-trust?utm_source=hashnode&utm_medium=feed)

[Mar 1](https://hashnode.com/posts/week-16-at-dataraflow-when-do-models-start-earning-your-trust/69a443d2a7428b958dc1b551)

### [Week 19 at DataraFlow: Can Machines Discover Patterns We Don’t See?](https://datababe.hashnode.dev/week-19-at-dataraflow-can-machines-discover-patterns-we-don-t-see?utm_source=hashnode&utm_medium=feed)

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

5 min read · [datababe.hashnode.dev](https://datababe.hashnode.dev/week-19-at-dataraflow-can-machines-discover-patterns-we-don-t-see?utm_source=hashnode&utm_medium=feed)

[Feb 25](https://hashnode.com/posts/week-19-at-dataraflow-can-machines-discover-patterns-we-don-t-see/699f813bc9015c37f6c73e09)

### [Week 15 at DataraFlow: When Does a Straight Line Stop Being Enough?](https://datababe.hashnode.dev/week-15-at-dataraflow-when-does-a-straight-line-stop-being-enough?utm_source=hashnode&utm_medium=feed)

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

5 min read · [datababe.hashnode.dev](https://datababe.hashnode.dev/week-15-at-dataraflow-when-does-a-straight-line-stop-being-enough?utm_source=hashnode&utm_medium=feed)

[Feb 23](https://hashnode.com/posts/week-15-at-dataraflow-when-does-a-straight-line-stop-being-enough/699b9c3796cb64f728786846)