About Course
-
Learn Machine Learning concepts from fundamentals to advanced
-
Understand supervised & unsupervised learning
-
Work with real-world datasets
-
Build and evaluate ML models
-
Learn classification, regression, and clustering
-
Use Python libraries like NumPy, Pandas & Scikit-learn
-
Understand model training, testing, and accuracy
-
Hands-on projects and practical implementation