# @aartii.py on Instagram

- **Type:** Video
- **Original URL:** https://www.instagram.com/p/DVn04ALj0kS
- **Gondola URL:** https://gondola.cc/posts/59916430-aartiipy-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/1b11e19224.jpg
- **Posted:** 2026-03-08T11:47:32.000+00:00
- **Account Owner:** Aarti Sinha (@aartii.py) — https://gondola.cc/aartii.py

## Caption

Day 2 of 10 — I asked Python to predict house prices. It was off by ₹27 lakhs. 😳
 
That sounds bad until you realise:
→ It used 15 lines of code
→ It analysed 20,640 homes
→ R² score of 0.60 — not bad for a linear model
 
What I built today:
📊 Linear Regression on California Housing Dataset
📊 Mean Absolute Error calculation
📊 Model evaluation with real numbers
 
This exact concept powers NoBroker, MagicBricks, and every bank that does
automated property valuation in India.
 
8 days left in the challenge. Comment ‘HOUSE’ for the full code in your DMs 👇

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## Stats

- **Views:** 1,249
- **Likes:** 0
- **Shares:** 0
- **Comments:** 30

## Tags

sklearn, python, linearregression, housepriceprediction, datascience

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