Update README.md

README.md

@@ -1,12 +1,12 @@
----
-license: mit
-language:
-- en
-pipeline_tag: text-classification
-tags:
-- finance
----
-# Model Card: Fund Predictor Pipeline Model
+---
+license: mit
+language:
+- en
+pipeline_tag: text-classification
+tags:
+- finance
+---
+# MF3Classifier
 
 ## Model Overview
 This is a machine learning pipeline designed to predict mutual fund performance using both numerical and categorical features. The model combines preprocessing steps with a Random Forest classifier, making it suitable for financial data analysis.
@@ -72,7 +72,7 @@ The model uses a two-branch preprocessing pipeline followed by a Random Forest c
 ## Technical Details
 
 ### File Information
-- **Model Path**: C:\Users\alokp\models\fund_predictor_model_20241103_230654.joblib
+- **Model Path**: https://huggingface.co/alokpandey/MF3Classifier/resolve/main/fund_predictor_model_20241103_230654.joblib
 - **Model Type**: Scikit-learn Pipeline
 - **Last Updated**: November 3, 2024
 
@@ -81,7 +81,7 @@ The model uses a two-branch preprocessing pipeline followed by a Random Forest c
    - AUM (Assets Under Management)
 
 2. **Categorical Features**:
-   - AMC
+   - AMC (Asset Management Company)
    - Fund Category
    - Sub-Scheme
    - Investment Type
@@ -98,7 +98,7 @@ The model uses a two-branch preprocessing pipeline followed by a Random Forest c
 - Uses standard scaling for numerical features
 - Designed for production use with joblib serialization
 
-## Model Location
+## Download Modal
 ```
-C:\Users\alokp\models\fund_predictor_model_20241103_230654.joblib
+https://huggingface.co/alokpandey/MF3Classifier/resolve/main/fund_predictor_model_20241103_230654.joblib
 ```