About this certification
The Certification: Machine Learning Foundations – Applied Regression Analysis provides a comprehensive understanding of essential regression concepts in machine learning. Gain skills such as improved decision-making, increased productivity, and a competitive advantage by mastering core techniques and practical applications. Enroll now to boost your career and stay ahead in the evolving field of machine learning.
This certification covers the following topics:
- Error Calculation and the Mean Squared Error (MSE)
- Understanding Relationships Between Variables
- Linear Regression Model and Notation
- Interpretation of Coefficients (Slope and Intercept)
- Cost Function and Gradient Descent
- Multiple Linear Regression
- Model Evaluation Metrics (Beyond MSE)
- Hypothesis Testing in Linear Regression
- Common Assumptions of Linear Regression
- Practical Implementation with Python