Course Overview
Dive deep into Machine Learning using Python. Learn supervised and unsupervised algorithms, regression, classification, clustering, and model evaluation. Explore libraries such as Scikit-learn and XGBoost, and work on real-world projects like spam detection, stock prediction, and recommendation engines. Perfect for developers and analysts looking to enter the ML domain.
What You'll Achieve
🎯
Master Key Concepts
Gain deep understanding of core Machine Learning principles and methodologies.
🛠️
Practical Skills
Develop hands-on skills through projects and real-world scenarios.
📝
Certification
Earn a certificate to showcase your expertise to employers.
👨🏫
Expert Guidance
Learn from industry professionals with years of experience.