📊 Aplikasi Prediksi Churn Pelanggan Telco | Telco Customer Churn Prediction App

Aplikasi interaktif berbasis Streamlit untuk menganalisis dan memprediksi pelanggan yang berpotensi churn di industri telekomunikasi.
Interactive Streamlit-based app for analyzing and predicting telecom customer churn.

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🚀 Demo Langsung | Live Demo

Klik untuk membuka aplikasi:
Click to open the app:

👉 🌐 Buka Aplikasi / Open App

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📁 Fitur Aplikasi | App Features

🇮🇩 Bahasa Indonesia

• 📌 Tentang Saya
  Profil dan pengalaman sebagai Full Stack Data Science
• 📈 Proyek
  Visualisasi interaktif: distribusi tenure, proporsi churn, boxplot biaya bulanan
• 🤖 Machine Learning
  • Prediksi churn menggunakan Random Forest & Logistic Regression
  • Evaluasi model: Akurasi, Confusion Matrix, Feature Importance
• 📊 Insight & Rekomendasi
  Insight dari data churn dan saran bisnis berbasis data
• 📞 Kontak
  Informasi kontak: email, LinkedIn, WhatsApp, GitHub

🇺🇸 English

• 📌 About Me
  Profile and experience as a Full Stack Data Scientist
• 📈 Project
  Interactive visualizations: tenure distribution, churn proportion, monthly charges
• 🤖 Machine Learning
  • Churn prediction with Random Forest & Logistic Regression
  • Model evaluation: Accuracy, Confusion Matrix, Feature Importance
• 📊 Insights & Recommendation
  Business insights and data-driven recommendations
• 📞 Contact
  Contact info: email, LinkedIn, WhatsApp, GitHub

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🛠️ Teknologi & Library | Tech Stack

• Python
• Streamlit
• Pandas, NumPy
• Matplotlib, Seaborn
• Scikit-learn

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📦 Jalankan Secara Lokal | Run Locally

Bahasa Indonesia

# Clone repositori
git clone https://github.com/Brama17/Hyper-Tunning-Analysis.git
cd Hyper-Tunning-Analysis

# Install dependensi
pip install -r requirements.txt

# Jalankan aplikasi
streamlit run streamlit_churn_app.py