Exploring the Decision Tree Algorithm in Python! - A Step-by-Step Machine Learning Tutorial

Опубликовано: 05 Июль 2022
на канале: EmpowerCode

4,155

Learn how to implement the Decision Tree Classifier machine learning algorithm in Python - all from SCRATCH! From in-depth explanations to detailed code descriptions, this video is the perfect tutorial for anyone looking to experiment and grow more familiar with the Decision Tree.

Feel free to access the Kaggle Dataset used throughout this video here: https://www.kaggle.com/datasets/meet3....
The GitHub Script containing the Jupyter Notebook we worked on can be found here: https://github.com/Rohak72/Machine-Le....
Additionally, if you want to learn more about the 'plot_tree' function that was used to visualize the decision tree, visit the following page: https://scikit-learn.org/stable/modul....

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🕘Timestamps:
0:00 Intro
0:38 Data Pre-Processing and Cleaning
3:25 Building our Decision Tree Classifier!
4:45 Visualizing the Tree Hierarchy with the 'plot_tree' function!
7:13 Gaging Model Accuracy
8:17 Concluding Thoughts

All B-Roll footage shown was sourced from pixabay.com/videos.
Free-to-use background music was downloaded from chosic.com/free-music/all.

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