- Within this folder, you'll discover two Python scripts developed for dataset generation:
-`dataset_gen.py`: This script generates synthetic data for two games, "Clock Challenge" and "Number Sequence," and stores the data in a CSV file.
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- You can also access the saved CSV files in this folder.
### 2. Data Preprocessing ()
### 2. Data Preprocessing
- Inside this folder, you'll come across two Jupyter Notebooks dedicated to data preprocessing:
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- Additionally, you can locate the 'final_game_dataset.csv' in this folder.
### 3. ML Model Development ()
### 3. ML Model Development
- Within this directory, there are two crucial files:
-`ml_model_dev.ipynb`: This file is responsible for developing the model for function 2.
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### 4. Service Files ()
### 4. Service Files
- Within this directory, there are one python ".py" files:
-`self_improvement.py`: This service file include the total process of function 01.
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### 5. Fast API & app file ()
### 5. Fast API & app file
- Within this app.py module include one Fast API end points for function 1 :
- 1. Request body : Connect the real time played database and use the player_name to compil this function(player_name :rQIRSQe3ZYTRDGfvRb8dvzaCKkA2)
- Special Note:We need to create that database as mentioned in below link player_game_dataset.csv ([Link](https://drive.google.com/drive/folders/1mRzLkdMJLO-5pc4vBxvdmv1B2WD5i2Lg?usp=drive_link))
