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Artificial Intelligence · Intermediate

Artificial Intelligence SMA — Intermediate

Machine Learning nyata dengan Python dan dataset Kaggle untuk siswa SMA yang ambisius.

📅 10 Weeks 📚 5 Weeks 🎯 Intermediate

About This Learning Path

Untuk siswa SMA yang sudah menguasai Python dasar, program Intermediate mengajarkan Machine Learning end-to-end: dari data preprocessing hingga model deployment sederhana. Menggunakan Scikit-learn, dataset Kaggle, dan proyek klasifikasi nyata. Output: 2 proyek ML di GitHub, model prediksi dengan akurasi terukur, dan laporan eksperimen.

Curriculum Roadmap — 10 Weeks

Week 1 Minggu 1–2: Machine Learning Fundamentals 4 lessons

Memahami supervised/unsupervised learning, train-test split, dan pipeline ML.

📹 ML Pipeline: Data → Model → Prediksi Video · 40 min
📄 Supervised vs Unsupervised Learning Article · 35 min
📹 Train-Test Split & Cross Validation Video · 40 min
📄 Overfitting & Underfitting: Cara Mengatasinya Article · 35 min
Week 2 Minggu 3–4: Algoritma Klasifikasi & Regresi 5 lessons

Implementasi algoritma populer: Logistic Regression, Random Forest, SVM.

📹 Logistic Regression untuk Klasifikasi Video · 45 min
📄 Random Forest: Ensemble Method Terkuat Article · 45 min
📹 Support Vector Machine (SVM) Video · 40 min
📄 Model Comparison & Pemilihan Algoritma Article · 40 min
📎 Project 1: Klasifikasi Penyakit Jantung File · 90 min
Week 3 Minggu 5–6: Natural Language Processing (NLP) Dasar 4 lessons

Pengenalan NLP: tokenisasi, sentiment analysis, dan text classification.

📹 NLP: Cara AI Memahami Bahasa Manusia Video · 35 min
📄 Tokenisasi & Text Preprocessing Article · 40 min
📹 Sentiment Analysis dengan NLTK Video · 45 min
📄 Text Classification: Spam vs Ham Article · 45 min
Week 4 Minggu 7–8: Computer Vision Dasar 4 lessons

CNN dasar, image classification, dan transfer learning dengan Keras.

📹 Convolutional Neural Network (CNN) Explained Video · 45 min
📄 Image Classification dengan Keras Article · 50 min
📹 Transfer Learning: MobileNet & ResNet Video · 45 min
📎 Project 2: Klasifikasi Gambar Custom Dataset File · 90 min
Week 5 Minggu 9–10: GitHub Portfolio & Deployment 4 lessons

Publish proyek ke GitHub, buat README profesional, dan deploy model ke Hugging Face.

📹 Git & GitHub: Version Control untuk AI Projects Video · 35 min
📄 Membuat README & Dokumentasi Proyek Article · 30 min
📹 Deploy Model ke Hugging Face Spaces Video · 45 min
🎙 Final Review & Portfolio Presentation Live · 60 min
🎓

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Path Details

⏱ Duration 10 Weeks
📊 Level Intermediate
🗂 Category Artificial Intelligence
📖 Weeks 5
📚 Total Lessons 45444 lessons

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