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 # Data Science Project Boilerplate
 
-This boilerplate is designed to kickstart data science projects by providing a basic setup for database connections, data processing, and machine learning model development. It includes a structured folder organization for your datasets and a set of pre-defined Python packages necessary for most data science tasks.
+ A simple Machine Learning project for training and testing models This boilerplate is designed to kickstart data science projects by providing a basic setup for database connections, data processing, and machine learning model development. It includes a structured folder organization for your datasets and a set of pre-defined Python packages necessary for most data science tasks.
 
 ## Structure
 
 The project is organized as follows:
 
-- **`src/app.py`** → Main Python script where your project will run.
+- **`src/app.py`** → Main Python script where your project will run. 
 - **`src/explore.ipynb`** → Notebook for exploration and testing. Once exploration is complete, migrate the clean code to `app.py`.
 - **`src/utils.py`** → Auxiliary functions, such as database connection.
 - **`requirements.txt`** → List of required Python packages.
@@ -109,4 +109,4 @@ To process data, you can modify the app.py script to include your data processin
 
 This template was built as part of the [Data Science and Machine Learning Bootcamp](https://4geeksacademy.com/us/coding-bootcamps/datascience-machine-learning) by 4Geeks Academy by [Alejandro Sanchez](https://twitter.com/alesanchezr) and many other contributors. Learn more about [4Geeks Academy BootCamp programs](https://4geeksacademy.com/us/programs) here.
 
-Other templates and resources like this can be found on the school's GitHub page.
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+Other templates and resources like this can be found on the school's GitHub page.