Decision trees | Classification algorithms

Decision tree learning

Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. Decision trees are among the most popular machine learning algorithms given their intelligibility and simplicity. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data (but the resulting classification tree can be an input for decision making). (Wikipedia).

Decision tree learning
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Introduction to Decision Trees | Decision Trees for Machine Learning | Part 1

The decision tree algorithm belongs to the family of supervised learning algorithms. Just like other supervised learning algorithms, decision trees model relationships, and dependencies between the predictive outputs and the input features. As the name suggests, the decision tree algorit

From playlist Introduction to Machine Learning 101

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Decision trees - A friendly introduction

A video about decision trees, and how to train them on a simple example. Accompanying blog post: https://medium.com/@luis.serrano/splitting-data-by-asking-questions-decision-trees-74afed9cd849 Helper videos: - Gini index: https://www.youtube.com/watch?v=u4IxOk2ijSs - Entropy and informat

From playlist Supervised Learning

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Fundamental Machine Learning Algorithms - Decision Trees

The code is accessible at https://github.com/sepinouda/Machine-Learning/

From playlist Machine Learning Course

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How Decision Trees Work

Decision trees are powerful and surprisingly straightforward. Here's how they are grown. Code: https://github.com/brohrer/brohrer.github.io/blob/master/code/decision_tree.py Slides: https://docs.google.com/presentation/d/1fyGhGxdGcwt_eg-xjlMKiVxstLhw42XfGz3wftSzRjc/edit?usp=sharing PERM

From playlist Data Science

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14 Machine Learning: Decision Tree

Lecture on machine learning prediction with decision trees. A simple, intuitive prerequisite for more powerful ensemble tree methods. Follow along with the demonstration in Python: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/SubsurfaceDataAnalytics_DecisionTree.ipynb

From playlist Machine Learning

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Decision Trees (2)

Learning decision trees

From playlist cs273a

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(ML 2.1) Classification trees (CART)

Basic intro to decision trees for classification using the CART approach. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA

From playlist Machine Learning

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Decision Tree In Machine Learning | Decision Tree Algorithm In Python |Machine Learning |Simplilearn

🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=MachineLearning-RmajweUFKvM&utm_medium=Descriptionff&utm_source=youtube 🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootc

From playlist Machine Learning with Python | Complete Machine Learning Tutorial | Simplilearn [2022 Updated]

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Decision Tree Algorithm | Decision Tree in Python | Machine Learning Algorithms | Edureka

** Machine Learning with Python : https://www.edureka.co/machine-learning-certification-training ** This Edureka video on Decision Tree Algorithm in Python will take you through the fundamentals of decision tree machine learning algorithm concepts and its demo in Python. Below are the topi

From playlist Brief Introduction to Data Science

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Data Science - Part V - Decision Trees & Random Forests

For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of decision tree machine learning algorithms and random forest ensemble techniq

From playlist Data Science

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Python for Data Analysis: Random Forests

This video covers the basics of random forests and how to make random forest models for classification in Python. Subscribe: â–º https://www.youtube.com/c/DataDaft?sub_confirmation=1 This is lesson 30 of a 30-part introduction to the Python programming language for data analysis and predic

From playlist Python for Data Analysis

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Decision Tree In R | Decision Tree Algorithm | Data Science Tutorial | Machine Learning |Simplilearn

🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=DecisionTreeInR-HmEPCEXn-ZM&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: http

From playlist Data Science For Beginners | Data Science Tutorial🔥[2022 Updated]

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Neural Networks are Decision Trees (w/ Alexander Mattick)

#neuralnetworks #machinelearning #ai Alexander Mattick joins me to discuss the paper "Neural Networks are Decision Trees", which has generated a lot of hype on social media. We ask the question: Has this paper solved one of the large mysteries of deep learning and opened the black-box ne

From playlist Papers Explained

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Random Forests : Data Science Concepts

How do random forests work? Decision trees video: https://www.youtube.com/watch?v=kakLu2is3ds Decision tree pruning video: https://www.youtube.com/watch?v=t56Nid85Thg Overfitting video: https://www.youtube.com/watch?v=-JopeGg60QY

From playlist Data Science Concepts

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Decision Tree 7: continuous, multi-class, regression

Full lecture: http://bit.ly/D-Tree Decision trees are interpretable, they can handle real-valued attributes (by finding appropriate thresholds), and handle multi-class classification and regression with minimal changes.

From playlist Decision Tree

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