@@ -58,7 +58,7 @@ This project is develop using the following:-
1. _Chatbot_: - Likely the current mode, allowing users to interact with the chatbot for flight details or other queries.
2. _Data Explorer_: - It explore the Airline Dataset. First one is Select columns to view where you can select on your own which columns information you want and second one is filter of flight status.
3. _Visualizations_: -
3. _Visualizations_: - It show the visualizations of top 10 passenger nationalities, passenger age distribution and flight status distribution.
4. _Predictions_: - It show the predictions of passenger satisfaction and flight status.
This layout appears user-friendly and efficient for retrieving passenger detials and exploring related data through multiple features.
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@@ -85,7 +85,7 @@ Here is the overview of the requests:
- Pandas: With the help of pandas we loaded the csv file and implemented functions to locate the data of the users as well as for data overview and visualizations.
- Scikt-Learn Model:
- Scikt-Learn Model: The code uses RandomForestClassifier to train both models.
- Matplotlib: With the help of matplotlib we have implemented graphs and pie charts according to out dataset.
