Statistics for Machine Learning

Statistics is the foundation of Machine Learning. This course provides a comprehensive introduction to the statistical concepts and techniques that power modern machine learning algorithms. Whether you're a beginner in data science or a developer looking to deepen your understanding, this course will equip you with the essential statistical tools needed to analyze data, understand patterns, and make informed decisions.

You’ll begin with the basics of descriptive and inferential statistics, gradually moving into probability theory, hypothesis testing, regression analysis, and statistical techniques used in model evaluation. Through hands-on exercises, real-world datasets, and intuitive explanations, you'll gain a solid grasp of how statistics is used to build, evaluate, and improve machine learning models.

By the end of this course, you’ll not only understand the "how" but also the "why" behind the algorithms, giving you a stronger foundation to build effective, interpretable, and data-driven models.