StartrexII/tuningHyperparameters

study of hyperparameter tuning methods

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fatimaAfzaal/DiabetesPrediction

This is a diabetes prediction system using Random Forest classifier and Flask framework.

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Abhishekkohli/Titanic-Disaster-Classification-ML

TitanicClassification.py file contains project based on binary classification. The dataset comprises of data related to passengers and binary value of whether they survived or not.

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MaxSivo/Healthcare-Chatbot

A chatbot able to diagnose disease based on provided symptoms and recommend precautions. Trained on a random forest model

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iamkirankumaryadav/Improvement

Improving a Machine Learning Model

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iamkirankumaryadav/Evaluation

Evaluation of the Models (Regression and Classification)

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iamkirankumaryadav/Classification

Classification Model (End to End Classification of Heart Disease - UCI Data Set)

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francescopatane96/Computer_aided_drug_discovery_kit

This pipeline provides a way to perform pharmaceutical compounds virtual screening using similarity-based analysis, ligand-based and structure-based techniques. The pipeline contains a collections of modules to perform a variety of analysis.

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581-pooja/Disease-Detection-ML

Heart, Kidney, and Diabetes Disease Detection website will use machine learning to predict the results, it is an end-to-end website deployed using Azure Cloud Services.

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abdulkhader07/datapoint_practice

using django as framework , to build full stack projects.

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AlaaMahmoud95/Heart-Failure-Prediction

Classification Machine Learning project

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VishalNadig/hand-gesture-controlled-turtlebot4

A graduate class project involving controlling a Turtlebot4 running on ROS2 Galactic using hand gesture recognition.

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anudeep-17/Data-mining-study

Datamining concepts

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GitCraigRash/Independent_Medical_Review_Trends

Analyze trends in overturning insurance rejections over the years. Used RandomForrestClassifier to predict if an insurance company rejection of coverage will be overturned.

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KonstantinosF/Upsampling-LC-Maps-Using-Machine-Learning

Upsampling already available land cover raster layers using machine learning inside Google Earth Engine platform.

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Prav001/Exoplanet-Star-Classification

In this project I use a simple RandomForestClassifier model to train time series of flux data to predict whether a star has an exoplanet orbiting itself.

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dani37x/E-lectro

Flask web app with Redis, Sklearn, APScheduler and others...

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SaraGhR/mushroom_hunter

I used the mushroom dataset and run the random-forest algorithm on it to achieve a model that is able to conclude and announce whether a mushroom is poisonous or edible by receiving several features.

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angelicavelez/megaline_classification_prediction_model

model is able to predict the type of Ultra or Smart plan that users need.

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Gravewalker666/flo-W-ers

Iris flower classification + web interface to test

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Billie-LS/give_me_cred

peer-to-peer lending, use techniques to train and evaluate Machine Learning models with imbalanced classes to identify the worthy

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allanphil/Company-Bankruptcy-Prediction

This project aims to determine the likelihood of a company facing bankruptcy, a crucial aspect of financial analysis and investment decision-making.

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harendra263/Loan_approval

In this project, based on the historical data of customers, who has applied for loans, we will identify whether loan should be approved or not. This dataset belongs to Lending Club.

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eliashossain001/DiabetesModel_Deployment

Forecasting diabates using machine learning algorithms: End-to-end solution.

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reknahs/Rubiks-Cube-Inference-Model

Language: Python - Size: 4.47 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

UviniR/Python-for-Classification

This is a simple python program to train a classification model using decision tree, random forest and Naive Bayes algorithms

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aster-fung/kaggle_phishing_webpage_classifier

Random forest ML model for phishing website detection

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Rl16193/Credit_Risk_Analysis

Credit risk is an inherently unbalanced classification problem, as good loans easily outnumber risky loans. Therefore, you’ll need to employ different techniques to train and evaluate models with unbalanced classes. Using the credit card credit dataset from LendingClub, a peer-to-peer lending services company,

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seroetr/Sentiment_Analysis_using_Machine_Learning_and_Deep_Learning

Application of Machine and Deep Learning to Sentiment Analysis

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AminKhavari78/Data-Science-handBook-

working with some of basic and advance machine learning in scikit-learn

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Godson199/Ecological-Footprint-Predictor

In this project, I worked on a classification problem using an imbalanced dataset which predicts ecological footprints. The aim of the project was not necessarily to build a classification model but to investigate the different methods of correcting an imbalanced dataset in order not to build a biased classifier

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MankoMyk/kaggle_titanic

Kaggle 'Titanic - Machine Learning from Disaster' GettingStarted Prediction Competition

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Naveen-Karanamu/CreditCard-Fraud-Detection

This is the ML Model which predicts if the Credit Card is Legit or Fraud - Random Forest Classifier

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a3X3k/Spam-Email-Detection

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

emaynard10/Credit_Risk_Analysis

Using supervised machine learning to predict credit risk. Trying oversampling, under sampling, combination sampling and ensemble learning to find the model with the best fit

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kkumar555/Fractional-Built-up-Prediction-10m-from-Landsat-8-using-Random-Forest-Algorithm-

This is a script that reads in Landsat-8 data, Esri Sentinel-2 10m land cover time series data and train a random forest classification algorithm to estimate fractional built cover at 30m scale. The trained model can be used to produce fractional land cover for other regions.

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Salllym/Supervised-Machine-Learning

Created machine learning models to classify the risk level of given loans.

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20rashmi128/Predicting-Credit-Card-Defaults

Predicting credit card defaults (Classification)

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felixodette/Churn-Prediction-Telco

Churn Prediction on a Telecommunication Dataset

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aLPHAClASHEr/Bank-Note-Authentication

Bank Notes Authenticity tester using RandomForestClassifier

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MinatoNamikaze02/nlp-disaster-tweets

A multi-output classifier pipeline that predicts the underlying disaster behind a tweet (If any).

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rhutuja-desai/classification-of-fruits-by-colour

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REEKRAJROY/Diabetes_Prediction

Diabetes Prediction

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q00Dree/fastapi-iris-classifier

Simple example of how to deploy machine learning model (RandomForestClassifier) with FastAPI and docker-compose.

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gakas14/Classification_projects

Classification systems

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KarthikMurugadoss1804/Prediction-of-customer-churn

In this project I intend to predict customer churn on bank data.

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rcfberg/article-classifier

ML-TF model that labels uploaded articles.

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Prashant1729/Restaurant-Recommendation

Given customer and restaurant check if a restaurant can be recommended or not (Binary classification problem)

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maede43/ensemble-learning-lfw

Final Project Of Computational Intelligence - Fall 2021 - LightGBM, RandomForest and StackingClassifier

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Pradnya1208/Credit-card-fraud-detection-using-ensemble-learning-predictive-models

The Aim of this project is used to identify whether a new transaction is fraudulent or not.

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imane-ayouni/Iris

Different classification algorithms to predict the species of Iris flowers

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imane-ayouni/Pima

Different classification algorithms to determine whether or not an individual from the Pima group will have type 2 diabetes

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prabormukherjee/ML_visualizer

Machine learning model Visualizer in web using streamlit

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sjwedlund/UofODataViz_Final_Project Fork of trosie3/UofODataViz_Final_Project

Predicting pet adoption speed by using sklearn's RandomForestClassifer Machine Learning model

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simprecicchiani/tripadvisor-reviews-analysis

ML model for rating prediction with NTLK and Scikit-learn.

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izzypatrick21/model-bagging

bagging a model

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izzypatrick21/heart-disease-prediction

heart disease prediction

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guilherme-vaz/tweets_sentiment_analysis

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rithurajnambiar17/titanic-survival-prediction

This is a beginner level project for predicting the survival of the Titanic Disaster using Machine Learning Algorithm

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stefkim/Game_of_Thrones_Battles_Analysis_and_Prediction

analyse and build predictive model for Game of Thrones (War of The Five Kings) battles dataset

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chuksoo/customer_churn_predictML

Practicum by Yandex Project 7: In this supervised learning project, we are to use customer data and develop a model that would predict whether a customer will leave a bank soon. One of the objective is to build a machine learning model with the maximum possible F1 score of atleast 0.59 or higher.

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lukaswenzl/High-Redshift-Quasars-with-Random-Forests

Finding High redshift quasars in large survey data using random forests. Code of Wenzl et al. 2021

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mistrydhruti/Heart-Disease-Prediction-Using-Python

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TStud/WebApp-for-Prediction-of-Car-Price-CarDekho-Vehicle-Dataset-

Predicting Car prices using Kaggle's CarDekho Dataset

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ghadikq/College_Admission

I would like to use ML to help high school students focus on the factors that really affect the college admission process and help them to get admitted.

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jposyluzny/ENSF612Project

Repository for the ENSF 612 final project.

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