🧠
Bengaluru House price data model by amitabhajoy
⭐ 30.4
🧠
Model

Bengaluru House price data

by amitabhajoy hf-dataset--amitabhajoy--bengaluru-house-price-data
Nexus Index
30.4 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 71
R: Recency 0
Q: Quality 23
Tech Context
Vital Performance
96.8K DL / 30D
0.0%
Audited 30.4 FNI Score
Tiny - Params
- Context
Hot 96.8K Downloads
Restricted CC0: PUBLIC DOMAIN License
Model Information Summary
Entity Passport
Registry ID hf-dataset--amitabhajoy--bengaluru-house-price-data
License CC0: Public Domain
Provider kaggle
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__amitabhajoy__bengaluru_house_price_data,
  author = {amitabhajoy},
  title = {Bengaluru House price data Model},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/model/hf-dataset--amitabhajoy--bengaluru-house-price-data}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
amitabhajoy. (2026). Bengaluru House price data [Model]. Free2AITools. https://free2aitools.com/model/hf-dataset--amitabhajoy--bengaluru-house-price-data

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download amitabhajoy/bengaluru-house-price-data
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
30.4
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 71
Recency (R) 0
Quality (Q) 23

đŸ’Ŧ Index Insight

FNI V2.0 for Bengaluru House price data: Semantic (S:50), Authority (A:0), Popularity (P:71), Recency (R:0), Quality (Q:23).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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Technical Deep Dive

Bengaluru House price data

⚠ī¸ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
96.8KDownloads
📊 Data Source: Kaggle ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Kaggle metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--amitabhajoy--bengaluru-house-price-data
slug
amitabhajoy--bengaluru-house-price-data
source
kaggle
author
amitabhajoy
license
CC0: Public Domain
tags

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
96,773
stars
458
forks
0

Data indexed from public sources. Updated daily.