I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

C++ code for "A Faster Drop-in Implementation for Leaf-wise Exact Greedy Induction of Decision Tree Using Pre-sorted Deque"

Quizzaro The Personality Quiz

MasterThesis on Congestion Detection in SDN networks using Machine Learning

Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties

Implementation of Grid Search to find better hyper-parameters for decision tree to reduce the over fitting.

Decision Tree classifier from scratch without any machine learning libraries

A C++ project which efficiently solves any given N-puzzle using backtracking on a decision tree.

The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the gender of someone given a novel set of body metrics.

Implementation of Decision Tree Algorithm using Python, Pandas, and NumPy without using any off the shelf library usi

QUEST is proposed by Loh and Shih (1997), and stands for Quick, Unbiased, Efficient, Statistical Tree. It is a tree-structured classification algorithm that yields a binary decision tree. A comparison study of QUEST and other algorithms was conducted by Lim et al (2000).

Various Machine learning algorithms

决策树代码简单实现

Recommendation System support Farmer to prevent The Blast Disease ( Type of Rice Disease )

Projects based on Machine Leaning

Machine learning algorithms

Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)

Distributed Decision Tree Induction using MPI

Open source implementation of the GUIDE decision tree algorithm

Analytical tool to help the company decide whether the employee will stay or not