What you’ll learn
- You will learn the most common probability distributions such as normal distribution and binomial distribution.
- You will learn how to transform skewed data to be normally distributed using different transformation methods such as log, square root, and power transformation
- You will learn how to calculate confidence intervals for statistical estimates such as model accuracy.
- You will learn the concepts of population data vs sample data.
- You will learn what random sampling means and how it affects data analysis.
- You will learn the evaluation metrics for classification models.
- You will understand what we mean by underfitting and overfitting in machine leaning and statistical modeling.
How to Enroll Advanced Statistical Modeling for Deep Learning Practitioner course?
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