Introduction to ML

Learn how machines learn from data and make decisions in this comprehensive machine learning course. You'll start with foundational concepts like supervised and unsupervised learning, regression, and classification. Using Python and Scikit-learn, you’ll build, train, and evaluate various machine learning models. Understand key concepts such as overfitting, bias-variance tradeoff, and model performance metrics. By working on practical projects and real-world datasets, you’ll develop strong problem-solving and analytical skills. This course is ideal for those looking to pursue careers in AI, data science, or automation.

8 Modules, 1 project, 30 day
₹2,500