Machine Learning & Model Building | From Data to Predictions | MRU E-Learning
Автор: MRU e-Learning
Загружено: 2025-12-20
Просмотров: 29
Learn how Machine Learning models are built, trained, and evaluated to make accurate predictions from data.
In this MRU E-Learning session, you’ll understand the complete ML model-building lifecycle—from data preparation to model deployment.
This video is ideal for students and beginners aiming to strengthen their foundation in AI, ML, and Data Science.
📘 Topics Covered:
✔️ Overview of Machine Learning
✔️ Data Collection & Preprocessing
✔️ Feature Selection & Engineering
✔️ Choosing the Right ML Algorithm
✔️ Model Training & Validation
✔️ Evaluation Metrics (Accuracy, Precision, Recall, F1-score)
✔️ Overfitting & Underfitting
✔️ Model Optimization Techniques
✔️ Real-World Use Cases
machine learning model building
ML workflow
model training and testing
feature engineering
machine learning basics
ML algorithms
data preprocessing
model evaluation metrics
AI ML tutorial
MRU E-Learning
data science fundamentals
predictive modeling
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#DataScience #PredictiveAnalytics #TechEducation
#MRUElearning #AITraining #EngineeringStudents
#LearnMachineLearning #FutureTech
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