Hi, thanks for watching my video about Decision Tree Classification using python, Machine Learning, scikit-learn, pandas and Google Colab
In this video I'll walk you through:
00:00 - Introduction to Google Colab
01:53 - Introducing Python programming
02:00 - Google Colab Features
02:36 - Hello World in Google Colab & Python
07:38 - Decision Tree Classification
08:45 - Importing the Dataset using Pandas & Data Frame
11:50 - Understand UCI Repository and Getting Dataset
16:54 - Splitting the dataset - Training & Testing splits
22:01 - Predicting the Instances - Make Predictions
22:58 - Evaluating the Decision Tree Classification model
25:08 - Compiling it all
26:08 - Varying the percentage splits for training & testing
28:33 - Predicting the Instances and verifying the performance of the model instance by instance manner.
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