Topic: classification-algorithms Goto Github
Some thing interesting about classification-algorithms
Some thing interesting about classification-algorithms
classification-algorithms, Code for the reproduction of Class-wise Shapley paper from Schoch, Xu, Ji [2022].
Organization: aai-institute
classification-algorithms,Predict loan approval by using different variable selection methods
User: adataschultz
classification-algorithms,We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.
User: agisthemantobeat
classification-algorithms,A Streamlit application to play with machine learning models directly from the browser
User: ahmedbesbes
Home Page: https://share.streamlit.io/ahmedbesbes/playground/main/app.py
classification-algorithms,The goal of this project is to create a reliable service for banks and other credit card issuance companies that helps to detect clients who will default on the credit repayments given some highlighted features of the client.
User: akawi85
Home Page: https://credit-defaulters.herokuapp.com/
classification-algorithms,A machine learning project developing classification models to predict COVID-19 diagnosis in paediatric patients.
User: amascasadesus
classification-algorithms,LENS: Learning ENSembles using Reinforcement Learning 2017 (v1.0)
User: anakstate
Home Page: https://github.com/anakstate/lens2.0
classification-algorithms,
User: ankitk2109
classification-algorithms,Build and evaluate classification model using PySpark 3.0.1 library.
User: ansu-john
classification-algorithms,Predicting success of Bank Telemarketing Calls: Implementing and Comparing various ML classification algorithms
User: atuljoshi1
classification-algorithms,This repository contains all the machine learning algorithms studied in discipline "Engenharia Médica Aplicada" of Biomedical Engineering course at UNIFESP in the second semester of 2018. All the algorithms are written in both MatLab and Python Languages.
User: awcasella
classification-algorithms,This is non-optimized code intended solely to test whether or not quantum classification works with amplitude encoding.
User: bsiegelwax
classification-algorithms,Built a classifier to predict whether a loan case will be paid off or not. Used classification algorithms (k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression). Each result is reported with the accuracy of each classifier (Jaccard index, F1-score, LogLoass)
User: caterinado
classification-algorithms,Kickstarter Campaign Success Prediction with ML Classification Algorithms
User: crystal-ctrl
classification-algorithms,Use of classification supervised learning algorithms as a tool to perform predictive analysis over whether a mammogram mass is benign or malignant
User: daviduster
classification-algorithms,🟣 Classification Algorithms interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
User: devinterview-io
classification-algorithms,This is the repository for all the resources (code, notes and guides) used during the ML Study Jams 2022-23 program hosted at GDSC-TIU. (Maintainer: Aryan Pareek @diffrxction)
Organization: dsc-tiu
classification-algorithms,Official Contribution for DeftEval 2020, Task 6 Subtask 1 from SemEval 2020 Competition. Solving NLP problem of "extracting term-definition pairs in free text" in multiple approaches ranging from highly simple till very complex modern ones.
User: elzawawy
classification-algorithms,A detailed look from seven different classification algorithms.
User: eobi
classification-algorithms,Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
User: eonu
Home Page: https://pypi.org/project/sequentia/
classification-algorithms,Performance evaluation of different classification and dimensionality reduction strategies, and applications in the classification of the crop type of a set of pixels in a multiband spectral image.
User: javiccano
Home Page: https://github.com/vgverdejo/Applications-of-Machine-Learning
classification-algorithms,Let’s practice and become familiar with classification algorithms.
User: jesussantana
classification-algorithms,An exercise repository for classification with iris dataset
User: mdepasquale21
classification-algorithms,Another repository for trying out machine learning algorithms for classification
User: mdepasquale21
classification-algorithms,Glaucoma and Non-Glaucoma classification using ML/Dl and ensemble approaches using Image Feature Extraction Using HOG (Histogram of Gradient)
User: officialarijit
classification-algorithms,
User: patschris
classification-algorithms,Cyber-attack classification in the network traffic database using NSL-KDD dataset
User: pradeepthapa
classification-algorithms,This project aims to develop a machine learning model that can accurately classify an individual's credit score between ["Good", "Standard","Poor"]. The model was trained using a supervised learning algorithm, Random Forest, on a dataset of credit score data.
User: rahulg-101
classification-algorithms,This is a Machine Learning model designed to analyze various factors that contribute to Employee Turnover including job satisfaction, last evaluation, number of projects, average monthly hours, time spent in company, accidents at workplace, promotion in 5 years, department and salary.
User: rajneeshvsht
classification-algorithms,8 Classification Algorithms in Machine Learning with Python using the Early stage diabetes risk prediction dataset
User: ralphcajipe
classification-algorithms,Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.
User: rimtouny
classification-algorithms,
User: ritikasarkar18
classification-algorithms,The project deals with predicting the number of persons killed based on the contributing factors such that necessary precautions and actions can be taken in order to avoid the accidents and reduce the death rates and injuries of the person in the New York city.
User: rrambhia22
classification-algorithms,Machine Learning Model to classify if emails are spam or non-spam, and identify the specific words which contribute more in classifying an email.
User: samujjwaal
classification-algorithms,As part of this project, various classification algorithms like SVM, Decision Trees and XGBoost was used to classify a GPU Run as high or low time consuming process. The main purpose of this project is to test and compare the predictive capabilities of different classification algorithms
User: sarthak-mohapatra
classification-algorithms,Repository to store code and study material for the Internship
User: shahilpatel-iitdh
classification-algorithms,Detection and Recognition of faces using ML Classification Algorithms, Neural Networks, Siamese Network and face-recognition library at Python
User: shreyanshchordia
classification-algorithms,Comparison of Different Machine Learning Classification Algorithms for Breast Cancer Prediction
User: shubamsumbria
classification-algorithms,Machine learning library for classification tasks
Organization: starlangsoftware
classification-algorithms,Machine learning library for classification tasks
Organization: starlangsoftware
classification-algorithms,Data Science notebooks and report
User: stfblanchet
classification-algorithms,实现对信贷数据的数据预处理,数据分析。之后利用多种分类算法对公司是否违约进行预测。Realize the data preprocessing and data analysis of credit data. Then, it uses a variety of classification algorithms to predict whether the company defaults.
User: stxupengyu
classification-algorithms,Model using machine learning algorithms to determine loan approval for customers.
User: tauseef117
classification-algorithms,
User: tauseef117
classification-algorithms,For this group project, I performed cluster analysis and classification using Python to predict one of three classes for water pumps; functional, functional but needs repair, and non-functions. I used clustering to find hidden data structures to exploit for fitting individual classification techniques with better results than using the entire dataset. Unfortunately, k-means clustering, DBSCAN, hierarchical clustering, nor OPTICS produced well-defined clusters. The entire dataset was therefore used for fitting classification algorithms. The two classification techniques I was responsible for were k-nearest neighbors and stacked generalization ensemble. For the latter, I combined the best models each group member developed. All the models had a hard time predicting the functional but need repair class. My best model was only able to achieve an accuracy of 76%.
User: tboudart
classification-algorithms,This project focuses on the detection of credit card fraud using various data science and machine learning techniques. The dataset includes a record of credit card transactions over a specific period, with the goal of accurately identifying fraudulent activities. 🚀✨
User: thecoderpinar
Home Page: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
classification-algorithms,Content maturity rating method for artistic social communities
User: tin-cat
classification-algorithms,Task : Build a classification model which will be able to distinguish between spam/not spam.
User: tirth8038
classification-algorithms,Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami. Data Description
User: vikassingh-ds
classification-algorithms,Streamlit application to classify cancer as malignant or benign.
User: vishvadesai9
Home Page: https://breast-cancer-detection-heroku.herokuapp.com/
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