Learn about normal distribution.
- [Instructor] Section five is on the topic…of kernel density estimation.…Because kernel density estimation is a rather…involved operation, we're going to split this up…over several sections, and hopefully…it's easier to digest.…In video one, we're going to introduce…the central limit theorem and the normal distribution.…In video two, we're going to introduce…the kernel density estimator.…In video three, we're going to apply…that kernel density estimator.…So we're going to start off with the normal distribution.…The normal distribution is an important formula…for the study of even basic statistics and data science.…
Data science at its heart is mathematical.…We're transitioning away from the technical aspects…of Haskell and file formats.…So in this video, we'll be discussing…the central limit theorem, which is essential…to understanding the normal distribution.…We'll then be introducing that normal distribution,…and then we're going to be exploring the parameters…of the normal distribution.…So here is the definition of the central limit theorem.…
Note: This course was created by Packt Publishing. We are pleased to host this training in our library.
- Data ranges, means, and medians
- Standard deviation
- SQLite3 command line
- Slices of data
- Regular expressions
- Atoms and modifiers
- Character classes
- Line plots of a single variable
- Plotting a moving average
- Feature scaling
- Scatter plots
- Normal distribution
- Kernel density estimation (KDE)
Skill Level Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL: Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Descriptive Statistics
3. Regular Expressions
5. Kernel Density Estimation
6. Course Review
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