supervised-learning-algorithms
There are 100 repositories under supervised-learning-algorithms topic.
koalaverse/vip
Variable Importance Plots (VIPs)
razuswe/PrimaIndianDiabetesprediction
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)
MauroCE/PythonBRMLtoolbox
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
WilliamY97/Parkinsons-Vocal-Analysis-Model
Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.
LeihuaYe/Machine-Learning-Rare-Event-Classification
With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
zhaoxin1124ds/Lithofacies-classification-using-machine-learning
Supervised classification to predict rock facies and a T-test flow to evaluate the prediction performance.
amberkakkar01/Diabetes-Predication
This project uses a Machine learning approach to detect whether the patient has diabetes or not using different machine learning algorithms.
felipexw/knn-java-library
Just a simple implementation of K-Nearest Neighbour algorithm.
Lucasfrota/MachineLearningElasticComponent
this project aims to be an easy and reusable way to use supervised machine learning techniques
sergio94al/Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation
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.
PJalgotrader/ML-USU-Fall21
ECN 5090- Machine Learning in Economics and Finance (Python)
shanathvemula/framework_for_superwised_prediction
This is the framework for supervised algorithms in mechine learning
jaydipkumar/data-science-r
Hear All Solution In R Language
Lakshaypahuja21/Implementation-Machine-Learning-Basics-Notes
Basic templates of codes for quick ML
mardavsj/Machine-Learning-Algorithms
It consists of basic concepts of Machine-Learning with its algorithms.
Ashleshk/Machine-Learning-Data-Science-Deep-Learning
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
LaxmiChaudhary/Classifying-silhouettes-of-vehicles
Unsupervised Learning (PCA) on Vehicle dataset
MachineLearningBCAM/Minimax-risk-classifiers-NeurIPS-2020
Minimax Classification with 0-1 Loss and Performance Guarantees
tezam84/Supervised_Project_Parkinson_disease
Supervised Machine Learning project with KNN, decision tree, random forest and adaboost algorithms
AF011/Machine-Learning-Projects-Academic
Developing Supervised Learning Models Using pandas, numpy, sklearn, seaborn, matplotlib
fsiddh/Machine-Learning-Techniques
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.
NandanKumar07/ML_CODE_REVISIT
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.
neemiasbsilva/lstm-pollution-china
Using long short term memory networks to analysis the pollution of Beijing, China.
Paulnkk/Columbia-IEOR-4004
I use a self-implemented Trust-Region-Method to solve the optimization problem and calculate the accuracy based on test data
Paulnkk/Modified-cutting-angle-method
Modified Cutting angle method based on 'Cutting angle method - a tool for constrained global optimization'
Rajat-dhyani/charity_donors
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.
sametmemis/FPFS-AC
A New Classification Method Using Soft Decision-Making Based on an Aggregation Operator of Fuzzy Parameterized Fuzzy Soft Matrices
Sarah-Hesham-2022/PendigitsDataset-FromScratch-Simple-KNNClassifier
Building from scratch simple KNN Classifier without using frameworks built-in functions and applying it on the Pen Digits Dataset.
AshishJadhav45/ML-Project
This repo has Machine Learning project
madhurimarawat/Machine-Learning-Using-Python
This repository contains machine learning programs in the Python programming language.
majd30/Adult-Income-Prediciton-Model
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
Om29Singh/Diabetes_Prediction
Diabetes Prediction using Machine Learning
rammathala/Crop-And-fertilizer-recommendation
A website which predicts the suitable crop and fertilizer based on the soil parameters
shuklayash02/Diabetes_Prediction_Model
Diabetes Prediction model Input=(Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age)
VolhaP87/Twitter_Sentiment_Analysis
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.