decison-trees

sgrodriguez/ddt

Golang Dynamic Decision Tree

RaimbekovA/bank-card-fraud-detection-using-machine-learning

Bank card fraud detection using machine learning. Web application using Streamlit framework

Swapneel01/URL-Based-Spam-Classification-Using-Machine-Learning

URL Based Spam Classification Using Machine Learning

Galaktikkon/FAI

Solutions to Fundamentals of Artificial Intelligence course labs at AGH University of Krakow

mohansaidinesh/oibsip_task1

Oasis Infobyte Internship Data Science task-1

Azeved00/cpp-decision-tree

Decision Tree C4.5 Algorithm in C++ only using STL

kapilbhise/ml-lab

Machine learning algorithms

RubaiyadNoorShahriar1999/Wine-Quality-Testing--Machine-Learning

Keywords—classification, supervised learning, Random Forest, K-Nearest Neighbor(K-NN), Naïve Bayes, Decision tree, Support Vector machine

subhendughosh91/Telecom-Churn-Prediction

Predicting churn customers using last 3 months data using PCA and multiple classification models like Logistic Regression, Decision Tree and Random Forest and finding the features influencing the churn.

Abhi3733/ML-Projects

Machine Learning Projects Portfolio

dD2405/Detecting_Malicious_Websites

manishsingh7163/Machine-Learning-Algorithms

Machine Learning Algorithms uses LATEX for Documentation

AnasBrital98/Most-Common-Algorithms-of-Machine-learning

In This Repository you can find The Explanation and The Implementation of the Most Famous Machine Learning Algorithms

ash-0521/Ensuring-Smiles-using-Spark-ML

The primary objective of this study is to explore the feasibility of using machine learning algorithms to classify health insurance plans based on their coverage for routine dental services. To achieve this, I used six different classification algorithms: LR, DT, RF, GBT, SVM, FM(Tech: PySpark, SQL, Databricks, Zeppelin books, Hadoop, Spark-Submit)

chawla201/Airplane-Accident-Severity-Prediction

Ensemble Learning | Flask

lovpatel93/Udacity-Finding_Donors_for_Charity_ML

Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income

MatejMistik/bachelors-fear-factor

Bachelor Gameplay demo with use of advanced interaction with AI

mukund-ks/Fake-News-Detection

A Machine Learning Project to detect Fake News using Python, making use of Logistic Regression and Decision Trees.

ozanmujde/DecisionTree

Decision Tree implementation without any library on Iris dataset

pankajkumar9797/myMachineLearningCode

My implementations of Linear Regression, Logistic Regression

Prasad179/FDD-with-Decision-Tree

In this project, fault detection and diagnosis model with decision tree is developed based on ASHRAE RP 1312 data. Rules generated by decision tree can be verified with domain expertise.

Sarah-Hesham-2022/USVotingDataset-Decision-Tree-Model

Machine Learning Model using Decision Trees on US Voting Dataset

Sarvandani/ML_classifications-Sarcasm_detection

Sklearn, logistic regression, Naive Bayes classifier, K-Nearest Neighbors, decision trees

sdjbabin/Flight-Price-Prediction

"Flight Price Prediction: GitHub repo for ML-based airline ticket price forecasting. Collect, preprocess data, train models, deploy, and evaluate. Open-source under MIT License."

steciuk/PSZT-ID3-algortihm

Classification of mushrooms using decision tree in ID3 implementation

sujoyyyy/Machine-Learning

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

tejal04/Machine-Learning-Practice

Implemented Traditional ML models for Regression and Classification using sklearn.

tezzytezzy/caravan-insurance-policy

Random Forest Classification

grascya/Breast-Cancer-Detection

Build classification models to predict whether the cancer type is Malignant or Benign.

Baroka-wp/decision_io

Cette app t'aide à prendre n'importe quel decision

dms-codes/decision-tree-drugs

Decision Tree Classifier with Grid Search and Visualization

Mariam-Zaidi/Telecom-Churn_Analysis

Churn analysis of customers using ML techniques

meenakshyyy/Customer-Churn-Telecom

This project focuses on developing a machine learning-based model to predict customer churn in the telecom industry. By leveraging data-driven insights, this model helps identify customers at risk of leaving, enabling telecom providers to take proactive measures to retain them.

tasneem-badar/Market-Trend-Analysis-and-Price-Prediction-on-Used-Cars

Market Trend Analysis and Price Prediction on Used Cars - A machine learning project for analyzing market trends and predicting car prices.

tventuraz/RedeUMV

Projeto Black Hat: A Engenharia Reversa Teórica de um Segredo de Estado