There are 1 repository under decision-tree-algorithm topic.
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"
Karma of Humans is AI
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.
Implementation of Decision Tree Algorithm using Python, Pandas, and NumPy without using any off the shelf library usi
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.
Various Machine learning algorithms
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).
Distributed Decision Tree Induction using MPI
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
Recommendation System support Farmer to prevent The Blast Disease ( Type of Rice Disease )
Machine learning algorithms
Prediction using Decision Tree Algorithm to create Decision Tree Classifier.
Analytical tool to help the company decide whether the employee will stay or not
Visualize a Decision Tree using dtreeviz
Projects based on Machine Leaning
A full-stack web application that syncs a user's FitBit data in order to generate workout suggestions
Machine Learning from Titanic Disaster
ID3 Decision Tree algorithm
Dive into Soulz, a strategic text-based adventure where combat prowess and exploration merge, guiding heroes through a perilous world teeming with challenges and evolving threats.
This dataset has passenger information who boarded the Titanic along with other information like survival status, Class, Fare, and other variables. The unfortunate event which was occurred on 15 April 1912, the Titanic sank after colliding with an iceberg, aboard 2224 peoples. Titanic passenger Data Analysis consist: Data Exploration and Preparation, Data Representation and Transformation, Data Visualization and Presentation
A simple classification problem where SVM, Logistic Regression, KNN and Decision Trees algorithms are used and the F1-score with Jaccard similarity scores are found out.
Create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.
Machine Learning Lab Programs in the curriculum
Linear Discriminant Tree in jupyter notebook
Implementation of various machine learning algorithms
This project is my under-graduation final year thesis project.
For the THRILL of the hunt!
This project focuses on the analysis to uncover patterns and predictors of churn