Topic: supervised-learning-algorithms Goto Github
Some thing interesting about supervised-learning-algorithms
Some thing interesting about supervised-learning-algorithms
supervised-learning-algorithms,Using the regression models in a real thermodynamic system. We have applied two supervised algorithms, Linear regression, and K-Nearest Neighbors to predict the composition values at various eta values.
User: abhishekchavannn
supervised-learning-algorithms,Developing Supervised Learning Models Using pandas, numpy, sklearn, seaborn, matplotlib
User: af011
supervised-learning-algorithms,Este repositorio recoge el código desarrollado en el Trabajo Fin de Máster : Diseño y prototipado de un sistema de detección de URLs maliciosas en tiempo real. Máster Ingeniería de redes y Servicios Telemáticos (MUIRST). UPM. 2021-2022
User: africamica
supervised-learning-algorithms,Web Analytics: Twitter Project with Machine Learning and Deep Learning methodologies
User: alenyeh1014
supervised-learning-algorithms,The project is about the predicting the employees who are likely to leave organization. We are using Supervised Machine learning algorithms to predict employee attrition.
User: allenj420
supervised-learning-algorithms,This project uses a Machine learning approach to detect whether the patient has diabetes or not using different machine learning algorithms.
User: amberkakkar01
supervised-learning-algorithms,This repo has Machine Learning project
User: ashishjadhav45
supervised-learning-algorithms,This Repository Consists All Courses, Projects and Online Learning Done in Context of Machine learning, Data Sceince And Deep Learning From Various Sources like Youtube, Coursera, Udemy And WEbsites like Scikit, Keras
User: ashleshk
supervised-learning-algorithms,
User: clementetienam
supervised-learning-algorithms,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.
User: elliott-dev
supervised-learning-algorithms,Just a simple implementation of K-Nearest Neighbour algorithm.
User: felipexw
supervised-learning-algorithms,This repository consists of Machine Learning Techniques (Both Supervised and Unsupervised Learning) which you go through for more better and broader understanding of different methods used in solving machine learning problems.
User: fsiddh
supervised-learning-algorithms,Hear All Solution In R Language
User: jaydipkumar
supervised-learning-algorithms,backpropagation algorithm implementation using matlab
User: jeffresh
supervised-learning-algorithms,Variable Importance Plots (VIPs)
Organization: koalaverse
Home Page: https://koalaverse.github.io/vip/
supervised-learning-algorithms,Basic templates of codes for quick ML
User: lakshaypahuja21
supervised-learning-algorithms,Unsupervised Learning (PCA) on Vehicle dataset
User: laxmichaudhary
supervised-learning-algorithms,Identify potential customers who are relatively more likely to subscribe to the term deposit
User: laxmichaudhary
supervised-learning-algorithms,With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
User: leihuaye
supervised-learning-algorithms,Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income
User: lovpatel93
Home Page: https://archive.ics.uci.edu/ml/datasets/Census+Income
supervised-learning-algorithms,this project aims to be an easy and reusable way to use supervised machine learning techniques
User: lucasfrota
supervised-learning-algorithms,Minimax Classification with 0-1 Loss and Performance Guarantees
Organization: machinelearningbcam
Home Page: https://proceedings.neurips.cc/paper/2020/file/02f657d55eaf1c4840ce8d66fcdaf90c-Paper.pdf
supervised-learning-algorithms,This repository features a predictive model aimed at income prediction, classifying individuals into two categories: ">50k" or "<=50k" based on various features. The model is designed to assist in demographic and economic analysis, aiding in the identification of individuals with higher income potential
User: majd30
supervised-learning-algorithms,It consists of basic concepts of Machine-Learning with its algorithms.
User: mardavsj
supervised-learning-algorithms,Python 3.7 version of David Barber's MATLAB BRMLtoolbox
User: mauroce
supervised-learning-algorithms,The code in this repository corresponds to exercises, projects, and examples covered in the respective courses of the Machine Learning Specialization. The goal is to review and reinforce the concepts learned during the specialization.
User: nandankumar07
Home Page: https://www.coursera.org/specializations/machine-learning-introduction
supervised-learning-algorithms,Using long short term memory networks to analysis the pollution of Beijing, China.
User: neemiasbsilva
supervised-learning-algorithms,Diabetes Prediction using Machine Learning
User: om29singh
supervised-learning-algorithms,Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning
User: paulfoley
supervised-learning-algorithms,I use a self-implemented Trust-Region-Method to solve the optimization problem and calculate the accuracy based on test data
User: paulnkk
supervised-learning-algorithms,Modified Cutting angle method based on 'Cutting angle method - a tool for constrained global optimization'
User: paulnkk
supervised-learning-algorithms,ECN 5090- Machine Learning in Economics and Finance (Python)
User: pjalgotrader
supervised-learning-algorithms,In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.
User: rajat-dhyani
supervised-learning-algorithms,A website which predicts the suitable crop and fertilizer based on the soil parameters
User: rammathala
Home Page: https://crop-and-fertilizer-recommendation.netlify.app
supervised-learning-algorithms,I used six classification techniques, artificial neural network (ANN), Support Vector Machine (SVM), Decision tree (DT), random forest (RF), Logistics Regression (LR) and Naïve Bayes (NB)
User: razuswe
supervised-learning-algorithms,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.
User: rohanuclesnar
supervised-learning-algorithms,A New Classification Method Using Soft Decision-Making Based on an Aggregation Operator of Fuzzy Parameterized Fuzzy Soft Matrices
User: sametmemis
supervised-learning-algorithms,Fuzzy Parameterized Fuzzy Soft 𝑘-Nearest Neighbor Classifier
User: sametmemis
supervised-learning-algorithms,This repository contains different Supervised Machine Learning algorithms written in python.
User: sarah-2510
supervised-learning-algorithms,Building from scratch simple KNN Classifier without using frameworks built-in functions and applying it on the Pen Digits Dataset.
User: sarah-hesham-2022
supervised-learning-algorithms,Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
User: sergio94al
Home Page: https://iopscience.iop.org/article/10.1088/2058-9565/ac1ab1
supervised-learning-algorithms,This is the framework for supervised algorithms in mechine learning
User: shanathvemula
supervised-learning-algorithms,Diabetes Prediction model Input=(Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age)
User: shuklayash02
supervised-learning-algorithms,Implementation of various Machine Learning models
User: sreesaibhavesh
supervised-learning-algorithms,Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been implemented from scratch and have been applied on banknote authentication dataset. The goal of this project is to calculate and compare the accuracy of these algorithms in differentiating counterfeit bank notes from legitimate notes
User: tdishant
supervised-learning-algorithms,Supervised Machine Learning project with KNN, decision tree, random forest and adaboost algorithms
User: tezam84
supervised-learning-algorithms,Conducted Twitter sentiment analysis on Google and Apple products. Employed a range of supervised ML algorithms and neural networks to tackle an imbalanced NLP multiclass classification problem. Selected the model with the highest macro F1 score for evaluation.
User: volhap87
supervised-learning-algorithms,Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.
User: williamy97
supervised-learning-algorithms,
User: wzsong17
supervised-learning-algorithms,Supervised classification to predict rock facies and a T-test flow to evaluate the prediction performance.
User: zhaoxin1124ds
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