decision-tree-algorithm
There are 83 repositories under decision-tree-algorithm topic.
milaan9/Python_Decision_Tree_and_Random_Forest
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.
bobye/Decision_Tree_PDeque
C++ code for "A Faster Drop-in Implementation for Leaf-wise Exact Greedy Induction of Decision Tree Using Pre-sorted Deque"
the-mrinal/ML-Notebook
Karma of Humans is AI
alitalpur99/SDN-TCPCongestionDetection
MasterThesis on Congestion Detection in SDN networks using Machine Learning
parthk3004/Quizzaro
Quizzaro The Personality Quiz
emirhanai/Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate
Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
bhattbhavesh91/decision_tree_grid_search
Implementation of Grid Search to find better hyper-parameters for decision tree to reduce the over fitting.
arasgungore/N-puzzle-solver
A C++ project which efficiently solves any given N-puzzle using backtracking on a decision tree.
anshul1004/DecisionTree
Decision Tree classifier from scratch without any machine learning libraries
abhinav-bohra/DecisionTrees
Implementation of Decision Tree Algorithm using Python, Pandas, and NumPy without using any off the shelf library usi
Sarbjyotsingh/Gender-Classification-with-Python
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.
hetianle/QuestDecisionTree
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).
alexandretea/ddti
Distributed Decision Tree Induction using MPI
Baticsute/BLASTRec
Recommendation System support Farmer to prevent The Blast Disease ( Type of Rice Disease )
huang104160/decision-tree-algorithm
决策树代码简单实现
kapilbhise/ml-lab
Machine learning algorithms
sakshigupta08/Task-6-GRIP-Sparks-Foundation
Prediction using Decision Tree Algorithm to create Decision Tree Classifier.
yashjshah/Employee-Data-Analysis
Analytical tool to help the company decide whether the employee will stay or not
andi611/Naive-Bayes-and-Decision-Tree-Classifiers
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
bhattbhavesh91/dtreeviz-tutorial
Visualize a Decision Tree using dtreeviz
blakeb211/guide
Open source implementation of the GUIDE decision tree algorithm
dileepkorade/Machine-Learning_Projects
Projects based on Machine Leaning
Keith-Tachibana/EZ-FIT
A full-stack web application that syncs a user's FitBit data in order to generate workout suggestions
m0-k1/Titanic-Survival-Exploration
Machine Learning from Titanic Disaster
mehdimo/DecisonTreeFormation
ID3 Decision Tree algorithm
nickboodoo/soulz
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.
rajrohan/titanic-dataset
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
Saadia-Hassan/ML-Classifiers
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.
sangita9853/Task-2-LGM-Prediction-Using-Decision-Tree-Algorithm
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.
shettyvarshaa/ML-LAB
Machine Learning Lab Programs in the curriculum
shitian-ni/LINEAR-DISCRIMINANT-TREES
Linear Discriminant Tree in jupyter notebook
srinidhinandakumar/user-reputation-system
This project is my under-graduation final year thesis project.
EmptySpace99/DecisionTree
A decision tree is a predictive model useful for different purposes and often used as a tool for decision support.
guevara-erik/Hiring-Prediction-Decision-Tree
Problem to solve: Predict if a candidate would be hired based on specific characteristics; what are the most important features a candidate must have to have higher possibilities of getting the job?
nickboodoo/thrill
For the THRILL of the hunt!