supervised-classification-methods | Topic

Topic: "supervised-classification-methods"

krishnakafle/gee-tutorials

This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.

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MachineLearningBCAM/MRCpy

A Library for Minimax Risk Classifiers

Language: Python - Size: 664 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 31 - Forks: 2

marvinquiet/Cellcano

Supervised cell type identification for scATAC-seq data

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biomed-AI/SANGO

The official implementation for "SANGO".

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MachineLearningBCAM/Minimax-risk-classifiers-NeurIPS-2020

Minimax Classification with 0-1 Loss and Performance Guarantees

Language: Python - Size: 99 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

keerthikkn/Aviation_delay_prediction

flight delay prediction using XGboost classifier

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analyticalnahid/Supervised-Machine-Learning

Most popular supervised Machine Learning algorithms from scratch with Scikit-learn implementation

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Elliott-dev/Machine-Learning-Predicting-Credit-Risk

In this assignment, I will be building a machine learning model that attempts to predict whether a loan from LendingClub will become high risk or not.

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RohanUCLesnar/Heart-Disease-Prediction-Using-Machine-Learning-CS892

CSE Final Year Project. Heart Disease Prediction using Supervised Learning namely - Logistic Regression, Naive Bayes, K-NN, Decision Tree and Random Forest. The Porject is done in Python.

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VaasuDevanS/SVM-in-RemoteSensing

Presentation about SVM using Iris-datasets (code-along) and Implemented for Satellite imagery

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paocarvajal1912/Supervised_Credit_Risk_Classification

Uses Logistic Regression and various machine learning techniques to train and evaluate models with imbalanced classes applied to identify the creditworthiness of borrowers.

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JaimeInchaurraga/02_ML_Project_Credit_Score_Classification

My first personal Machine Learning project: a supervised multi-class classification model focused on the creation of credit score classification for the financial sector.

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skaty5678/customer_churn_prediction

Customer churn prediction using various supervised classification algorithms.

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rupasureshkumar/data-science

data science projects

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ShanmugapriyaMurugavel/Applied-Machine-Learning

Applied Machine Learning projects includes: a supervised machine learning model to classify emails from the given dataset as spam and not-spam. 2.

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denissejoyce/Supervised-Model-Cup

This notebook tested the performance of the following scikit-learn models: Logistic Regression, Multilayer Perception, Naive Bayes, KNN, and Random Forest Classifier in classifying whether a person has thyroid or not based on the dataset provided. Each model’s performance has been evaluated using the F1 Score. NOTE: This notebook was used for a homework — we were tasked to choose 1 model out of the previously mentioned models and tweak its hyper parameters so we can get the best F1 score.

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