Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# 📱 Mobile Price Prediction — ML Pipeline
|
| 2 |
|
| 3 |
> Predict mobile phone prices in Nepal (NPR) from specs using an end-to-end machine learning pipeline.
|
|
@@ -225,4 +238,4 @@ joblib>=1.3.0
|
|
| 225 |
|
| 226 |
- Dataset source: Nepal mobile price listings (scraped), prices in NPR
|
| 227 |
- The raw data contains significant noise — header rows mixed into data, malformed price strings, URL slugs as brand names. All cleaned via custom regex parsers.
|
| 228 |
-
- Model performance is limited by dataset size; with more diverse data, tree-ensemble models would perform significantly better.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
- ne
|
| 6 |
+
metrics:
|
| 7 |
+
- mse
|
| 8 |
+
- mae
|
| 9 |
+
library_name: allennlp
|
| 10 |
+
tags:
|
| 11 |
+
- nlp
|
| 12 |
+
- regression
|
| 13 |
+
---
|
| 14 |
# 📱 Mobile Price Prediction — ML Pipeline
|
| 15 |
|
| 16 |
> Predict mobile phone prices in Nepal (NPR) from specs using an end-to-end machine learning pipeline.
|
|
|
|
| 238 |
|
| 239 |
- Dataset source: Nepal mobile price listings (scraped), prices in NPR
|
| 240 |
- The raw data contains significant noise — header rows mixed into data, malformed price strings, URL slugs as brand names. All cleaned via custom regex parsers.
|
| 241 |
+
- Model performance is limited by dataset size; with more diverse data, tree-ensemble models would perform significantly better.
|