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decision-tree-classifier

Here are 47 public repositories matching this topic...

hugomuniz94 / Classificao-de-Subscricao-de-Servico

Análise de Predições de Subscrições de Serviço. A base marketing foi utilizada para previsão de subscrições do serviço com modelos de classificação. No trabalho como um todo foram utilizados os modelos de Regressão Logística, Árvore de Decisão, SVM e Redes Neurais. Observação: Baixe o arquivo HTML para ver o trabalho completo em formato de relat…

html deep-learning h2o rmarkdown logistic-regression svm-model decision-tree-classifier classification-algorithm

Updated Jul 10, 2021
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jessanrendell / banknote-authentication

Verify banknote specimens using various classification algorithms on Wavelet-Transformed images

python machine-learning artificial-intelligence naive-bayes-classifier classification logistic-regression support-vector-machine decision-tree-classifier k-nearest-neighbors

Updated Sep 18, 2021
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prenio / Heart-Failure

Project done on heart failure data.

random-forest naive-bayes-classifier classification decision-tree-classifier

Updated Nov 7, 2022
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BhavanaMuppidi / heart_health_chatbot

python machine-learning chatbot html-css-javascript decision-tree-classifier

Updated Jan 10, 2024
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Vinexy / Machine-Learning-Project-Oxford-Flowers-101-Hog-Features-ORB-Detector

Oxford Flowers 101 dataset analyzed with machine learning techniques (KNN, Logistic, Decision Tree)

machine-learning logistic-regression features knn hog-features decision-tree-classifier

Updated Dec 31, 2022
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gazalpatel / Supervised-Machine-Learning-in-R

This project includes implementation of supervised machine learning algorithms in R language.

machine-learning r rstudio naive-bayes machine-learning-algorithms rmarkdown supervised-learning classification machinelearning decision-trees knn naive-bayes-algorithm naivebayes decision-tree-classifier machine-intelligence naive-bayes-classification classification-algorithm knn-classification rmarkdown-document

Updated Nov 13, 2017
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sumit0072 / GRIP-Task

This repository contains tasks performed in Graduate Rotational Internship Program at The Spark Foundation.

exploratory-data-analysis python3 decision-tree-classifier kmeans-clustering-algorithm linear-regression-algorithm

Updated Jun 4, 2021
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AVT18 / Car_model_recommendation

A predictive model built to recommend appropriate car model provided user's requirements. Presented through a CSS-styled web UI, also implemented using Python 3(Flask).

flask data-science machine-learning analytics decision-tree-classifier

Updated May 30, 2022
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Mohammed-ALmasry / Loan-Binary-Classification-Task

Loan Binary Classification Task

python machine-learning sklearn pandas data-visualization naive-bayes-classifier logistic-regression matplotlib data-preprocessing data-cleaning decision-tree-classifier svm-classifier imbalanced-data knn-classifier imbalanced-classification

Updated Nov 3, 2022
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virajbhutada / Telecom-Customer-Churn-Prediction

Predict and prevent customer churn in the telecom industry with this project. Harness the power of advanced analytics and Machine Learning on a diverse dataset to develop a robust classification model. Gain deep insights into customer behavior and identify critical factors influencing churn using interactive Power BI visualizations.

data-science machine-learning neural-network python-library machine-learning-algorithms eda pandas data-analysis logistic-regression powerbi roc-curve decision-tree-classifier churn-prediction machine-learning-models random-forest-classifier classification-models customer-churn-prediction customer-attrition-analysis xgboost-classifier powerbi-desktop

Updated Jun 21, 2024
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JalajVora / COVID-19-predictions-on-Chest-X-Rays-using-Interpretable-Machine-Learning

A Team Project on developing COVID-19 predictor with chest X-Ray images as dataset under Data Science with R subject of Otto-von-Guericke-University, Magdeburg

data-science r neural-network svm dataset image-classification decision-tree-classifier random-forest-classifier knn-classifier explainable-ml cxr-images logistic-regression-classifier covid-19

Updated May 20, 2021
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prenio / Titanic

Data Science/machine learning methods performed on the Titanic dataset

random-forest naive-bayes-classifier decision-tree decision-tree-classifier random-forest-classifier

Updated Nov 7, 2022
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Meenu00615 / Iris-classification

Iris Classification : Developed a ML Model for classifying iris flowers based on their features using Python, scikit-learn, and TensorFlow.

Updated Dec 26, 2023
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uniquevineet / unsupervised_learning

Applying unsupervised learning algoriths on online shoppers intention data and model building

random-forest clustering naive-bayes-classifier pca-analysis pca logistic-regression unsupervised-learning knn decision-tree clustering-algorithm decision-tree-classifier kmeans-clustering classification-algorithims kmeans-algorithm unsupervised-machine-learning knn-classification agglomerative-clustering unsupervised-clustering logisticregression heirarchical-clustering

Updated Dec 8, 2019
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phoenix-w / BA810-Fraud-Detection-Project

Team project for BA810 (Supervised Machine Learning)

machine-learning random-forest supervised-learning xgboost classification logistic-regression decision-tree-classifier imbalanced-data fraud-detection

Updated Mar 14, 2021
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mangodo100 / FYP

A functional real time ML based system for predicting constituents (dosha) in human body.

naive-bayes-classifier ann decision-tree-classifier svm-classifier knn-classifier

Updated Jul 18, 2021
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NishraMahveen / A-Robust-Approach-for-Effective-Spam-Detection-using-Supervised-Learning-Technique

This project detects spam messages in SMS, including those written in regional languages typed in English. It uses an extended SMS dataset and applies the Monte Carlo method with various supervised learning algorithms to improve spam detection.

logistic-regression support-vector-machine decision-tree-classifier gradient-boosting-classifier naive-bayes-classification knn-algorithm monte-carlo-method

Updated May 29, 2024
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yanglinjing / dsnd_p1_finding_donors_for_charity

Supervised Learning - Finding Potential Donors for CharityML

python random-forest supervised-learning adaboost decision-tree-classifier gradient-boosting gaussian-naive-bayes-implementation udacity-data-science-nanodegree

Updated Mar 27, 2019
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abisliouk / IE500-data-mining

The goal of this project is to create a classifier and see how accurately it can predict song genres. Taking a dataset from Spotify [Pandya, 2022], which is al- ready using machine learning algorithms for these purposes, can help assess if the resulting model can be considered apt for a large-scale business.

decision-tree-classifier multinomial-naive-bayes random-forest-classifier mlp-classifier knn-classifier gaussian-naive-bayes xgboost-classifier nearest-centroid-classifier

Updated Apr 13, 2024
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ignatius-mbugua / medical-drug-prescription-prediction

A web app that assists patients in diagnosing their illnesses

python3 decision-tree-classifier django2 scikit-learn-python

Updated Jul 6, 2023
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