franmateus/Risco-de-Credito-Modelos-Ensemble

Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble

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SKJNR/App-s-Review-Sentiment-Analysis

Perform Sentiment Analysis on App's Review Data

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Kaizenick/Walmart-Sales-Forcasting

Predicting sales of Walmart stores by cleaning the data, processing it. Then creating different models to predict the sales.

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harmanveer-2546/Sports-Bets-Winning-Algorithm

Sports betting is the activity of predicting sports results and placing a wager on the outcome.

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Abhinav330/Classification-problem-using-ensambling-on-titanic-dataset

a classification problem using ensemble methods on the Titanic dataset.

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dilkushsingh/Kidney-Stone-Detection

Predicts the likelihood of kidney stone based on the input parameters.

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danielnunesdc/wine-classification

College project | Wine Classification Kaggle challenge with Wine Dataset :snake: :heavy_check_mark:

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zoom2manoj/feature_selection

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Aysenuryilmazz/hr_analytics_ML

ML models for HR classification problem. For more information please visit the link: https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/

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PRAVEENBRO/Sms-Email-Spam-Detector

🚀 Developed a Python-based ML model for SMS and Email spam detection using NLP. Achieved high accuracy and precision! 📧🤖🔍 #MachineLearning #NLP #SpamDetection

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timothygmitchell/Empirical_Study_of_Ensemble_Learning_Methods

Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

Language: R - Size: 296 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 2

Arya920/Desease-prediction

This repository contains code for a machine learning project focused on predicting the likelihood of a person having diabetes. The project includes the implementation of various classification models and an Artificial Neural Network (ANN) for classification.

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emirhanai/AID362-Bioassay-Classification-and-Regression-Neuronal-Network-and-Extra-Tree-with-Machine-Learnin

I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my regression model, you can predict whether it is Inactive or Inactive (Neural Network or Extra Trees). In classification (Neural Network or Extra Trees), you can easily classify the provided data whether it is Inactive or Active.

Language: Python - Size: 815 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 0

Msamuelsons/cogumelo-venenoso

Modelo em IA que classifica se um cogumelo é ou não venenoso

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srushtishimpi/breast-cancer-analysis

👩Women👩 and 🎗 Breast Cancer🎗: Analysis📊 and Detection🔍

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DivyaSudagoni/Predicting-hotel-booking-cancellation

This project predicts hotel booking cancellations using Machine Learning techniques, benefiting both travelers and hotels.

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iambankaratharva/Claims-Management

Machine Learning models for helping BNP Paribas Cardif accelerate its claims process

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harshwalia36/Early-Prediction-of-Mortality-Risk-among-Covid-19-Patients

Early prediction of Mortality Risk among Covid -19 Patients in early stages when patients gets admitted into the hospital.

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saksham1210/Human-Activity-Recognition-ML

In this project, we design a robust activity recognition system based on a smartphone.

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Kunal-Attri/Malware-Detection-ML-Model

This is a Malware Detection ML model made using Random Forest Algorithm

Language: Python - Size: 76.6 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 3

LuisAnibalVasquez/Road-Traffic-Severity-Classification

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mdaiyub/Diabetes-Prediction

Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.

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iambankaratharva/BitcoinHeist

Autoencoder & Variational Autoencoder for data augmentation and checking data authenticity with ML models.

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Abdullah2020/Hamoye_StageC

This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.

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a3X3k/Spam-Email-Detection

Size: 67.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

insancs/credit-scoring-classification

Predict whether a person will default on a loan or not.

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Elliott-dev/Indicators-of-Heart-Disease-Analysis

This project is about statistically analyzing risk factors for heart disease and performing A/B testing, descriptive and inferential statistics to provide health care plans and strategies to better understand the risk factors assocaited with heart disease and give key insights into what factors contribute most heavily and least heavily to the development of heart disease.

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Chandradithya8/Feature_Selection

Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in. Having irrelevant features in your data can decrease the accuracy of the models and make your model learn based on irrelevant features.

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segobee/Binary-Classification

This is a project where Classification Models were built to predict whether a grid is stable or unstable going by the Provided Dataset

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sidharth178/Credit-Risk-Analysis-using-LightGBM-Classifier

The objective of this project is to determine the risk of default that a client presents and assign a risk rating to each client. The risk rating will determine if the company will approve (or reject) the loan application

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dayanacavalcante/ApiPython-WineClassify

Web API in Python with Flask to classify wine with model created by extra-trees classifier algorithm.

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panambY/Human_Activity_Recognition

Predict the activity category of a human.

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rakibhhridoy/MachineLearning-FeatureSelection

Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.

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