This video shows how to use R to construct and improve a Naive Bays classifier. It compares the performance of Naive Bayes classifiers against the popular k-NN. Finally, the video explains the need for approaches better than mere splitting of the data into training and validation sub-sets. The explanation will be quite informal and will avoid more complex statistical concepts.
The data for this lesson can be obtained from (note different file name):
* jacobcybulski.c...
The R source code for this video can be found here (some small discrepancies are possible):
* jacobcybulski.c...
Videos in data analytics and data visualization by Jacob Cybulski, jacobcybulski.com.
11 сен 2024