Machine Learning & Artificial Intelligence ML Engineering
Deep dive into ML algorithms, model optimization, and deployment.
$800.00
Product Details
Intermediate ML Engineering
Master essential machine learning techniques including feature engineering, model tuning, and basic deep learning for real-world applications.
🎯 Objectives:
- Handle complex datasets (cleaning, feature engineering)
- Implement advanced algorithms (SVMs, decision trees, ensembles)
- Optimize models (hyperparameter tuning)
- Deploy ML models (Flask, FastAPI)
⏳ Duration: 8-10 weeks (60-80 hours)
👥 Target Audience: Data analysts, software engineers, STEM graduates
📌 Key Topics:
- Feature engineering & selection
- Advanced algorithms (Random Forest, XGBoost)
- Model evaluation metrics
- Introduction to TensorFlow/PyTorch
- Basic model deployment
