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Machine Learning for Beginners to Advanced (Step-by-Step Practical Course)
This course is designed for students and beginners who want …
What you'll learn
Understand fundamentals of Machine Learning and core terminology
Perform data preprocessing and cleaning
Work with supervised and unsupervised learning models
Train and evaluate ML models
Use Python libraries: Numpy, Pandas, Matplotlib, Scikit-learn
Build ML projects including prediction systems
Deploy ML model basics