camilobetanieto/StatisticalLearning

Analysis of student performances of the Open University Learning Analytics dataset by using logistic regression and various classifiers.

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PrusWielki/adv-machine-learning-proj-1

LDA, QDA and NB in Python from scratch

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StarlangSoftware/Classification-Js

Machine Learning Library for Classification Tasks

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donishadsmith/vswift

Tools created for machine learning classification model evaluation

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StarlangSoftware/Classification-CS

Machine learning library for classification tasks

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StarlangSoftware/Classification-Py

Machine learning library for classification tasks

Language: Python - Size: 721 KB - Last synced: 24 days ago - Pushed: 24 days ago - Stars: 11 - Forks: 3

StarlangSoftware/Classification-Cy

Machine learning library for classification tasks

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agn-7/gaussian_naive_bayes_classifier

A simple 1-dimensional Gaussian Naïve Bayes Classifier.

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StarlangSoftware/Classification

Machine learning library for classification tasks

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ocramz/cmbnt-test

Language: Haskell - Size: 83 KB - Last synced: about 1 month ago - Pushed: over 5 years ago - Stars: 2 - Forks: 1

nakshatrasinghh/Machine-Learning

Making Machine Learning Algorithms Easy to Comprehend

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Andrewwango/femda

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.

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aesthetic176/Hate_Speech_Detection_on_Twitter_using_LDA_and_QDA

Machine Learning Project

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theablemo/ML-assignments

This repository contains the practical assignments for the Machine Learning course taught by Dr.Mohsen Ansari in Spring semester of 2023 at Sharif University of Technology

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kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

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Chaoukia/Probabilistic-Graphical-Models

Probabilistic graphical models home works (MVA - ENS Cachan)

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HCYENDLURI/Comparing-6-Classifiers-for-Sepsis-Dataset

To Detect Sepsis Disease using six Classifiers on clinical data

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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

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AScick/Machine_Learning_Project

Bunch of exercises computed during the Machine Learning for Finance course.

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kk289/Predicting-Credit-Defaults

Machine Learning: Group Project

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tugrulhkarabulut/Gaussian-Discriminant-Analysis

Gaussian Discriminant Analysis introduction and Python implementation from scratch

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StarlangSoftware/Classification-CPP

Machine learning library for classification tasks

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ozturkfemre/classification

R | Classification Project

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rameshgkwd05/Accelerometer-Biometric

Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)

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monfared01/machine-learning-methods-apply-on-wisc-dataset

Machine Learning Methods apply on Breast Cancer Wisconsin (Original) Data Set.

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jarred13/Predicting_Heart_Disease

This was my finial paper for my Harvard Data Science Certification. This paper used machine learning to predict if a patient had heart disease or not.

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raghav-arora-1998/Classification-using-LDA-QDA

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mosama1994/Diabetes-Detection-using-Machine-Learning

Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.

Language: Python - Size: 8.76 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

snatch59/cnn-svm-classifier

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Language: Python - Size: 122 MB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 54 - Forks: 31

clissa/Statistical_Learning Fork of amacaluso/Statistical_Learning

Overview of statistical learning methods for classification

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dehaoterryzhang/Iris_Classification

Iris classification with Python Scikit-learn :blossom:

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amira921/Deployment-Startup-Acquisition-Status-Prediction

ML project for the internship at Technocolabs company

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kellyav/machinelearningfinal

Final project progress will be posted here.

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Zauverer/exce_Linear_Discriminant_Analysis

Linear Discriminant Analysis

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bghojogh/Linear-Quadratic-Discriminant-Analysis

The code for Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)

Language: Python - Size: 992 KB - Last synced: over 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

kk289/Airbnb-Price-Prediction

A Survey on ML Techniques for Airbnb Price Prediction

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lajobu/Machine_learning_R_cars

Classification methods applied to an imbalanced big dataset

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ViktorC/OSML

A Python library of 'old school' machine learning methods such as linear regression, logistic regression, naive Bayes, k-nearest neighbors, decision trees, and support vector machines.

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mmarouen/linear-Models-Classification

R packages Implementing linear models for classification

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macholan/donation-prediction

Binary classification to predict donor vs. non-donor & regression to prediction donation amount. Logistic regression, QDA, LDA, Random Forests, SVMs, Bagging, Boosting, Ridge Regression

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