Get started with machine learning. Learn how to separate training data from test data, prepare data for machine learning, perform supervised machine learning tasks, and more.
Overview
Syllabus
Introduction
- Welcome
- What you should know
- Exercise files
- Overview of machine learning tasks
- Separate training data from test data
- Import data from a file
- Standardize (normalize) or rescale data
- Replace values near zero with zero
- Interpolate data to enter missing values
- Count values by adherence or non-adherence to a rule
- Group elements using a rule
- Sort elements using a rule
- Find a fit using a linear model
- Find a time series that fits given data
- Find a formula that represents a data set
- Find a function that generates a given sequence of values
- Calculate the logistic sigmoid function for a data set
- Classify items using training data
- Predict values using training data
- Measure classifier function performance
- Measure predictor function performance
- Identify data clusters
- Next steps
Taught by
Curt Frye
