Master the fundamentals of machine learning, from data preprocessing to model building. This course covers supervised and unsupervised learning algorithms through real-world projects, preparing you for data-driven problem solving.
What You'll Learn:
Data preprocessing, cleaning, and feature engineering
Supervised and unsupervised learning algorithms
Model training, evaluation, and optimization
Real-world machine learning projects and case studies