Topic: decison-trees Goto Github
Some thing interesting about decison-trees
Some thing interesting about decison-trees
decison-trees,Machine Learning Projects Portfolio
User: abhi3733
decison-trees,This project emphasizes on predicting churn of an employee within an organization such that whether the employee will leave the company or continue with it. It uses the data of previous employees who have worked for the company and by finding a pattern it predicts the churn in the form of yes or no.
User: ankit-77
decison-trees,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)
User: ash-0521
decison-trees,Repository For Codes And Concept Taught in Udemy Course
User: ashleshk
decison-trees,Decision Tree C4.5 Algorithm in C++ only using STL
User: azeved00
decison-trees,Sorting out major features affecting churning of telecom customers
User: charan89
decison-trees,Ensemble Learning | Flask
User: chawla201
decison-trees,Hands on over different problems using various ML algorithms
User: gitprabhat
decison-trees,Using Supervised Machine learning predicted big mart sales item outlet sales
User: gowthamjeevanantham
decison-trees,An implementation of Random Forests in the Python programming language (accuracy tested with 100, 300, and 500 trees)
User: hamza29199
decison-trees,This documents all my practice perfoming AI techniques using python as the main programming language
User: hkagiri
decison-trees,Regression algorithms to predict the median house prices in California districts
User: imane-ayouni
decison-trees,Machine learning algorithms
User: kapilbhise
decison-trees,This repository consists of machine Learning models, deep learning models and some NLP tasks such as Topic Modelling, Sequence generation, Sentiment analysis, Recommendation System
User: kush1912
decison-trees,Predicting market stock prices using various Machine Learning models. Data trained and tested up until 2017. Data found of Kaggle.
User: lcswnn
decison-trees,Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income
User: lovpatel93
Home Page: https://archive.ics.uci.edu/ml/datasets/Census+Income
decison-trees,Machine Learning Algorithms uses LATEX for Documentation
User: manishsingh7163
decison-trees,Bachelor Gameplay demo with use of advanced interaction with AI
User: matejmistik
decison-trees,Using Machine learning algorithms on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.
User: mjnvsai
Home Page: https://mjnvsai.github.io/TitanicClassification/
decison-trees,Oasis Infobyte Internship Data Science task-1
User: mohansaidinesh
decison-trees,Machine learning course homework
User: moon1863
decison-trees,A Machine Learning Project to detect Fake News using Python, making use of Logistic Regression and Decision Trees.
User: mukund-ks
decison-trees,Final project for IEE 520 Stat learning for data mining. Highly imbalanced data set. Sampling methods used.
User: mwaghela92
decison-trees,Malware analysis of files, detect the type of malware and check whether its a malware or not by using virus total.
User: nitya123-github
decison-trees,Decision Tree implementation without any library on Iris dataset
User: ozanmujde
decison-trees,My implementations of Linear Regression, Logistic Regression
User: pankajkumar9797
decison-trees,Project for Kannada digits recognition using Kannada-MNIST dataset. Employ PCA for dimensionality reduction to 10 components, and apply Decision Trees, Random Forest, Naive Bayes, K-NN Classifier, and SVM for prediction. Evaluate models using Precision, Recall, F1-Score, Confusion Matrix, and RoC-AUC curve.
User: pillowtree3
decison-trees,NodeJS Implementation of Decision Tree using ID3 Algorithm
Organization: prodiodesignworks
decison-trees,Bank card fraud detection using machine learning. Web application using Streamlit framework
User: raimbekova
decison-trees,Email Spam detection using KNN and Decision Trees Models Trained using the Spambase database
User: rikzyj
decison-trees,This repository consists of ML projects including data modeling, clustering, classification, and dimensionality reduction models
User: rindhujatreesa
decison-trees,Keywords—classification, supervised learning, Random Forest, K-Nearest Neighbor(K-NN), Naïve Bayes, Decision tree, Support Vector machine
User: rubaiyadnoorshahriar1999
decison-trees,This project aims at predicting whether a customer will continue with the Telco Service group or not. The data was analyzed and trained using decision trees and random forests algorithm
User: sainikhilp
Home Page: https://www.kaggle.com/datasets/blastchar/telco-customer-churn
decison-trees,Machine Learning Model using Decision Trees on US Voting Dataset
User: sarah-hesham-2022
decison-trees,Sklearn, logistic regression, Naive Bayes classifier, K-Nearest Neighbors, decision trees
User: sarvandani
decison-trees,This project evaluates logistic regression, random forest, decision tree, and gradient boosting classifier models for fake news detection. Using labeled data, it analyzes accuracy, confusion matrices, and ROC curves to understand each model's effectiveness in discerning between real and fake news.
User: sayande01
decison-trees,Golang Dynamic Decision Tree
User: sgrodriguez
decison-trees,In this project we solve the challenge posted on Kaggle to predict the price of house. In this project we make of models like linear regression, gradient boosting, random forest and decision tree.
User: srikanth2102
decison-trees,机器学习实战学习笔记
User: startsm00n
decison-trees,Classification of mushrooms using decision tree in ID3 implementation
User: steciuk
decison-trees,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.
User: subhendughosh91
decison-trees,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.
User: sujoyyyy
decison-trees,Predictive Analytics Practice: Random Forest, K-NN, SVM, Regression, Logistic Regression
User: sunil-ai-007
decison-trees,URL Based Spam Classification Using Machine Learning
User: swapneel01
decison-trees,Implemented Traditional ML models for Regression and Classification using sklearn.
User: tejal04
decison-trees,Random Forest Classification
User: tezzytezzy
decison-trees,This repository contains several task given by the Sparks Foundation under Graduate Research Internship Program July2022
User: tiwari-adarsh0830
decison-trees,Create a decision tree, plot it, convert the rules into IF-THEN format, and utilize cost-complexity pruning for minimal tree and interpretable rules.
User: unnatibshah
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