Pushing model and README files to the repo!

README.md

@@ -170,7 +170,7 @@ If you use this model, please cite it as follows:
 }
 ```
 
-# Intended Uses & Limitations
+# Intended uses & limitations
 
 This regression model is designed to predict the cost of rides based on various features such as expected ride duration, number of drivers, and time of booking.
 
@@ -187,21 +187,6 @@ This regression model is designed to predict the cost of rides based on various
 
 The model was trained using grid search to optimize hyperparameters. Cross-validation (5-fold) was performed to ensure robust evaluation. The best model was selected based on the lowest Mean Absolute Error (MAE) on the validation set.
 
-# Hyperparameters
-
-### Hyperparameters:
-
-- alpha: 1
-- copy_X: True
-- fit_intercept: False
-- max_iter: 1000
-- positive: False
-- precompute: False
-- random_state: None
-- selection: cyclic
-- tol: 0.0001
-- warm_start: False
-
 # Evaluation
 
 ## Model Coefficients
@@ -238,7 +223,7 @@ The following plot shows the relationship between the actual and predicted value
 
 The scatter plot above shows the predicted values against the actual values. The dashed line represents the ideal predictions where the predicted values are equal to the actual values.
 
-# Evaluation Results
+# Evaluation results
 
 The model achieved the following results on the test set:
 - **Mean Absolute Error (MAE)**: 50.32