Python Data Science: Learn Python in a Week and Master It. An Hands-On Introduction to Big Data Analysis and Mining, a Project-Based Guide with Practical Exercises (7 Days Crash Course, Book 3) by Computer Programming Academy

Author:Computer Programming Academy [Academy, Computer Programming]
Language: eng
Format: azw3
Published: 2020-02-09T16:00:00+00:00

Identify the best and most cost effective feature within the training data set that will be used as the point for bifurcating the data.

Based on the possible values of the selected “best feature”, create sub sets of data by bifurcating the data set. These bifurcations will define the “branch nodes” of the decision tree, wherein each node serves as a point of bifurcation based on specific features from the data set.

Iteratively develop new tree nodes with the use of data subsets gathered from step 3. These bifurcations will continue until an optimal point is reached, where maximum accuracy is achieved while minimizing the number of bifurcations or nodes.

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