DigiTalent Intermediate Data Science - Self Practice

📅 Created On

July 2025

🗂️ Repository Structure

DigiTalent_IntermediateDataScience-SelfPractice/
├── data/                         # Contains raw/external datasets
│   └── Data_Nasabah.csv          # Local dataset
│
├── notebooks/                    # Jupyter notebooks
│   ├── self_practice-1.ipynb     # Data Screening
│   ├── self_practice-2.ipynb     # Data Object: Basic Analysis
│   ├── self_practice-3.ipynb     # Construction & Documentation
│   ├── self_practice-4.ipynb     # Model Design Strategy
│   ├── self_practice-5.ipynb     # Modeling Application
│   └── self_practice-6.ipynb     # Evaluation of Modeling Results
│
├── requirements.txt              # Python dependencies
├── README.md                     # Project overview and setup instructions
└── .gitignore                    # Files/folders to exclude from version control

🚀 How to Use

1. 📥 Clone this repository to your local machine:

   git clone https://github.com/RyanGA09/DigiTalent_IntermediateDataScience-SelfPractice.git

2. Change Directory

   cd DigiTalent_IntermediateDataScience-SelfPractice.git

3. Open in VS Code

   code .

4. 📦 Install the environment (recommended to use venv or conda):

   pip install -r requirements.txt

5. 📘 Open the notebook corresponding to the topic you want to learn and run the code cells sequentially.

👨‍💻 Author

Ryan Gading Abdullah