Curious about how machine learning projects actually work in practice?
In this video, I break down the key stages of the machine learning workflow, including:
✅ Data Extraction
✅ Data Splitting
✅ Model Training
✅ Model Evaluation
✅ Model Deployment
✅ Model Monitoring
Whether you're a beginner or refreshing your knowledge, this video gives you a clear overview of how data travels through the entire ML pipeline - from raw data to real-world impact.
🎓 Ideal for students, data science beginners, and professionals exploring AI in real applications like credit scoring.
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