Update README.md

README.md

@@ -1,12 +1,24 @@
-# Flight-Price-Prediction
-
-- I did this project just to perform some next level feature engineerings to elevate the performane of this model.  
-- I have also created a gui using HTML,Bootstrap,CSS and implemnted the backend in Flask for this project and will be uploading that on Heroku soon.  
-- Actually this was a Kaggle problem.  
-- Initially I used RandomForestRegressor but that was not giving very satisfying results so I used RandomSearchCV to find best hyerparameters and came up witha a  good model with r2 score of around 0.82.  
-- Also used ExtraTreeRegressor to visualize the importances of all the features.  
-- Just run app.py to see the gui on local host.  
-  
-Do visit my blog for better explanations: https://machinelearningprojects.net/flight-price-prediction/
-  
-![](ss.png)
+---
+title: Flight Price Prediction
+emoji: ✈️
+colorFrom: yellow
+colorTo: blue
+sdk: streamlit
+sdk_version: 1.0.0
+app_file: app.py
+pinned: false
+---
+
+
+# Flight Price Prediction
+
+- I did this project just to perform some next-level feature engineerings to elevate the performance of this model.
+- I have also created a GUI using HTML, Bootstrap, CSS, and implemented the backend in Flask for this project and will be uploading that on Heroku soon.
+- Actually, this was a Kaggle problem.
+- Initially, I used RandomForestRegressor but that was not giving very satisfying results, so I used RandomSearchCV to find the best hyperparameters and came up with a good model with an R2 score of around 0.82.
+- Also used ExtraTreeRegressor to visualize the importances of all the features.
+- Just run `app.py` to see the GUI on localhost.
+
+Do visit my blog for better explanations: [Machine Learning Projects](https://machinelearningprojects.net/flight-price-prediction/)
+
+![Screenshot](ss.png)