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DECISION TREE
In this Blog I will be writing about a widely used classification (machine learning) algorithm, that is, Decision Tree. Here I will explain about what is Decision Tree, Types of Decision Tree…
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Decision Tree
In our day-to-day life, we interact with various machine learning applications and use it without knowing it. The best example is buying something from any online shopping portal where we get several…...
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Data Science : Decision Tree
Decision Tree is supervised machine learning algorithm used for classification and regression problems. Classification deals with predicting class of discrete values like 0/1 or predicting if some…
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Decision Tree Classifier
Ever wondered how does a loan application gets accepted or rejected ? Ever given a thought how does the sales team realize the future demands for any product will increase and so we need to keep the…
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Decision Tree 101!
The decision tree is one of the tree-based algorithms in the machine learning domain. It is highly intuitive and easy to understand which makes it super useful in solving some of the classic machine…
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Decision Tree
Linear regression and logistic regression models fail in situations where the relationship between features and outcome is nonlinear or where features interact with each other. Time to shine for the d...
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Under the Hood — Decision Tree
This is the third article in a series of articles where we will understand the “under the hood” workings of various ML algorithms, using their base math equations. With so many optimized…
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Decision Tree Algorithm..
Decision tree is one of the popular machine learning algorithms which is the stepping stone to understand the ensemble techniques using trees. Also, Decision Tree algorithm is a hot topic in many of…
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Decision Tree — Part 1
What is a Decision tree? A decision tree is a supervised learning method with comparatively good accuracy and a self-explanatory model. The approach is Top-Down, and it is a Greedy algorithm. It can…
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Machine Learning: Decision Trees
This blog covers another interesting machine learning algorithm called Decision Trees and it’s mathematical implementation. At every point in our life, we make some decisions to proceed further…
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All About Decision Tree
In this article we will understand the Decision Tree by answering the following question: * What is a Decision Tree? * What is the core concept of a Decision Tree? * What are the terminologies used in...
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A Decision tree is the graphical illustration of all the various ways to make a decision based on specific conditions. These conditions are usually if-then statements or we can generally say it as…
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All about Decision Tree Algorithms!
The easiest way to understand this algorithm is to consider it a series of if-else statements with the highest priority decision nodes on top of the tree. Given a dataset, we, first of all, find an…
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Decision Tree Machine Learning
dec_tree: This creates a new instance of a decision tree. we list our labels as keys with values of either discrete or continuous. This gem implements ID3, which is an algorithm with the purpose of…
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Machine Learning: Decision Tree Classification
Most of us feel Decision Tree to be tough but, it’s one of the most powerful techniques in Machine Learning. It’s easy to implement and falls under Supervised Learning Techniques. As the name…
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Decision Tree in Machine Learning
A decision tree is a flowchart-like structure in which each internal node represents a test on a feature (e.g. whether a coin flip comes up heads or tails) , each leaf node represents a class label…
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Decision Tree - For Beginners
· A decision tree is a graphical representation of all possible solutions to a decision based on certain conditions. · Decision Trees are versatile machine learning algorithms that can perform both…
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Decision Tree — Introduction
Decision tree learning is a method for approximating discrete-valued target functions, in which the learned function is represented by a decision tree. Learned trees can also be re-represented as…
Read more at Analytics VidhyaDecision tree: Part 1/2
Invented about 70 years ago, a decision tree is one of the oldest Machine Learning algorithms used today for predictive modeling. They may be one of the simplest ML algorithms to understand but don’t…...
Read more at Towards Data ScienceA quick introduction to Machine Learning. Part-3 (Decision Tree)
A quick Introduction to Machine Learning. Part-3 (Decision Tree) In this article, we can see how a decision tree is a useful machine-learning method. I recommend you to read part-1 and part-2 to have...
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Decision Tree Fundamentals
When talking about the decision trees, I always imagine a list of questions I would ask my girlfriend when she does not know what she wants for dinner: Do you want to eat something with the noodle…
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Decision Tree Explained…
Decision Trees (DTs) are non-parametric supervised learning method used for classification and regression. The goal is to create the model based on some decision rules from data features. It is also…
Read more at Analytics VidhyaDecision tree: Part 2/2
This post is second in the “Decision tree” series, the first post in this series develops an intuition about the decision trees and gives you an idea of where to draw a decision boundary. In this…
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Decision Tree for Better Usage
When there are a ton of materials about Decision Tree, the reason for writing this posting is to give a chance to take a different look at the topic. Exposed to diverse ways of understanding is an…
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