GitHub topics: svc-model

Repositories

suryadipbera1256/Epileptic-Seizure-Recognition

Machine learning techniques are increasingly applied in the classification of drugs based on biomarkers related to epileptic seizures. Various studies highlight the use of deep learning and other machine learning models to enhance seizure detection and classification from EEG data.

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psychomita/intelliCV

IntelliCV is an AI-driven platform for efficient and intelligent resume screening.

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mehtadigisha/Iris-Flower-Classification

Iris Flower Classification

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stefan-500/ml-network-traffic-classification-unsw-nb15

Network traffic classification using Machine Learning

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DIMFLIX/NewsGuard

categorizing news: fake or not

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Pur1zumu/RIFT-SVC

Implementation of RIFT-SVC, a singing voice conversion model based on Rectified Flow Transformer.

Language: Python - Size: 21.1 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 39 - Forks: 8

AadityaRajGupta/AetherCare_Platform

AetherCare is an AI-powered healthcare platform that leverages Generative AI to assist users with medical inquiries, symptom-based disease prediction, hospital location services, and a knowledge repository for healthcare education. This project aims to enhance accessibility to healthcare information.

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PAMPNA/Endocrine-Elegance-Classifying-Thyroid-Disorders-With-Precision

Early identification and treatment of thyroid disorders using predictive modeling. · Implemented Artificial Neural Networks (ANN), Support Vector Classifier(SVC), Random Forest, and XGBoost for risk prediction. · Developed a web application using ML Flask for user-friendly access to predictive models

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FPT-ThaiTuan/Detect-Yoga-Poses-And-Correction-In-Real-Time-Using-Machine-Learning-Algorithms

Compare SVM mode yoga movement classification accuracy with Linear kernel, Polynomial kernel, RBF (Radial Basis Function) kernel, LSTM with accuracy up to 98%. In addition, it also supports adjusting the practitioner's movements according to standard movements.

Language: Python - Size: 221 MB - Last synced at: 15 days ago - Pushed at: 11 months ago - Stars: 10 - Forks: 4

mattiamanna2203/TesiMagistrale

Files used for my Master's thesis in Data Science titled "Identification of Critical Nodes in Differential Co-Expression Networks of TEPs Transcriptome for Diagnostic Applications."

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shubham5027/Bank_Customer_Chrun_Prediction

Customer churn prediction is the process of using machine learning models to identify customers who are likely to leave in the near future.

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ashishkr678/medix-ai

A MERN stack app with Python Flask and SVC model to predict diseases and recommend medications, diets, and workouts based on user symptoms. Includes user auth, PDF report export, and a responsive UI.

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whoishusni/Prediksi-Diabetes

Prediksi Diabetes, Diabetes Predict Using SVC

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farooqueesamiya/Social-Network-Ads-Classification-Models

In this repository, we will explore different classification models to predict whether a user will purchase a product based on age and estimated salary.

Language: Python - Size: 50.8 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Ali-jalil88/Mlflow-Bank-Marketing

Bank-Marketing dataset using Mlflow

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sfansaria/Stress_Sentiment_Detection_Model

Stress Detection Using Natural Language Processing

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fausa/Bias_Detection_in_Journalism

A Natural Language Processing Project: Use NewsAPI to gather URL's of news articles, along with webscraping, gather news articles and generate a bias classifier to then run on news sources that are considered "centered" by AllSides Media to determine the validity of that classification.

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harmanveer-2546/Diabetes-Prediction-Using-Machine-Learning

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

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Chirag6525/Loan-Approval-Prediction

Loan approval prediction means using credit history data of the loan applicants and algorithms to build an intelligent system that can determine loan approvals.

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HamidrezaGholamrezaei/Web_Auth_Anomaly_Detection

A project focused on anomaly detection within web authentication systems, employing both supervised and unsupervised machine learning techniques to enhance security by pinpointing and analyzing unusual activities.

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tejasayya/Alzheimer-s-Disease-Analysis

A research study on How do factors like alcohol consumption, age, ethnic background, and medical history affect the risk of developing Alzheimer's disease?

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johannaschmidle/ChurnPredictionModel

Machine learning models to predict customer churn in a bank using features like age, credit score, and account activity, implemented with Random Forest and GridSearchCV for optimal performance (Python)

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blleshi/Machine_Learning_Trading_Bot

Machine Learning Trading Bot (Algorithmic Trading)

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anjaliwork20/Heart-Failure-Prediction

Heart Failure Prediction in Humans

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manya-gangoli/Dry-coffee-beans-classification

Machine Learning Approach to classify different types of dry beans. Data Cleaning , Encoding, Feature Scaling ,Data visualization, Predictive Modelling applied.

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RazerXP/Footballer-Classification

Identifies footballers among a group of 5

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lucaordronneau/euromillions

Creation of a FastAPI application for the euromillions which predicts whether a sequence of 5 numbers and 2 star numbers is winning.

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Mbalajiviswanadh/Medical-Recommendation

A Medical Recommendation app where user can get medical information such as: Medication, Precautions, Diets, etc.. which depends on the Symptoms

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dgraves4/ml-jupyterlab3-classifiers

Project that uses the Howell data set to train decision tree, SVC, and NN models and compare their performance

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AjayKumar095/SEED_CLASSIFICATION_ML_MODEL

The Seed Classification ML Model aims to classify different types of wheat seeds into three categories: Kama, Rosa, and Canadian. The model uses various features related to the geometric properties of the seeds to accurately distinguish between these types.

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yulyan407/GoIT_Data_Science

Linear regression, retraining models, regularization, SVC, RandomForest, K-means, PCA, Recommender systems, Neural Network, Keras

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LJadhav25/Support-Vector-Machine-Data-Science-

Support Vector Machines (SVM) are supervised learning models used for classification and regression analysis. They are particularly effective in high-dimensional spaces and situations where the number of dimensions exceeds the number of samples. SVMs are also memory efficient as they use a subset of training points called support vectors.

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lcswnn/ML-Stock-Prediction-Models

Predicting market stock prices using various Machine Learning models. Data trained and tested up until 2017. Data found of Kaggle.

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afaq-ahmed07/Heart-Disease-Predictor

Heart Disease Predictor using Linear regression, Logistics and Support Vector Algorithm in Python.

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SINGHxTUSHAR/Sensor-Fault-Detection

Data fetched by wafers is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not apparently obliterating the need and thus cost of hiring manual labour.

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hazyuun/Chess-FEN

Predicts Forsyth–Edwards Chess Notation from a chess board image, using a C-SVC model

Language: Python - Size: 1.05 MB - Last synced at: 11 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

AbdElrahman-A-Eid/dry-bean-classification

Our first participation in a Kaggle competition. Dry Beans Classification is an unranked competition held by ITI AI-Pro.

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damaniayesh/Breast_Cancer

The project provides information about breast cancer to help doctors predict if a person has it.

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dorianDraper/NLP-projects

Through NLP techniques, we will develop chatbots capable of engaging in meaningful conversations, analyze sentiments from customer reviews, or even automatically summarize large bodies of text.

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SINGHxTUSHAR/SpamSlayer

This Project Predicts whether the Email/SMS is spam or ham by using the extensive knowledge of NLP and various ML Algorithms. Deployed on Streamlit & Herokuapp

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ericjjohnson2/corporate_credit_rating

This project aims to use machine learning models on Kaggle data to predict corporate credit ratings to aid investment decisions.

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sherin-ann-babu/Personalized_medicine_recommendation_system

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eiliaJafari/Movie-Review-Classification-TF_IDF-SVC

Movie Review Classification with TF-IDF Vectorize & SVC given a set of text movie reviews that have been labeled negative or positive

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danieljosephraj/Ineuron-Internship

iNeuron DataScience Internship: During this Internship, I have worked on project related to Data Analytics field in which logistic regression, decision tree and support vector machine have been used for classification problem

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iamjr15/Bank-Loan-Approval-Prediction

Models bank loan applications to classify and predict approval decisions using customer demographic, financial, and loan data. Applies machine learning algorithms like logistic regression and random forest for enhanced automation.

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omkarsunilshivarkar/resume-analysis

This resume analysis website would help you select your desired candidate through a sea of applicants.Along with it, it will also help you detect the personality of the candidate through OCEAN model.

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AdritaBarua/Sprorts-News-Sub-categorization

Bangla Sports-news Sub-categorization

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Billu98/Wine-Quality-prediction

A machine learning project aiming for learning about machine learning models and other techniques.

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REAtes/Cancer-Diagnosis-Prediction

This project aims to predict if a cancer diagnosis is benign or malignant using Support Vector Machine (SVM) model. The model utilizes several features related to cancer cells to make predictions.

Language: Python - Size: 802 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

anjanchowdhury/Malware_detection-Python

Malware_detection_all_classifiers(with proper docstrings).

Language: Python - Size: 228 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ishreya09/Parkinson-Prediction-Model

We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

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s0nya21/Loan-Approval-Prediction

When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.

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May-code-source/Offensive-Language-Detection-System

A real-time, multi-modal detection system capable of identifying both text and emoji data for early detection of high-risk discussions on social media and messaging applications.

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MylanaBulat/ML-week-2-assignment

Logistic Regression Classifier; MVC Classifier; Logistic regression Classifier with Squared x parameters

Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MathGpn/wine-api

FastAPI application which predicts the components for a perfect wine.

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Ch-Jameel/Classification-modeling-work-using-SVC-KNN-DT-etc

Welcome to our Classification Modeling Project! In this project, we've employed various machine learning algorithms and techniques to solve a classification problem.

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Aimin-Nur/MechineLearnig-HoaxDetecsion-Vol.1

Sebuah Project yang bertujuan untuk mengembangkan sebuah model Machine Learning yang mampu mengidentifikasi dan membedakan antara berita palsu (hoax) dan berita yang benar dengan akurat.

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Leohrithik/Weather-Prediction

A simple machine learning model using KNN,GaussianNB,SVC algorithms

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srushtishimpi/breast-cancer-analysis

👩Women👩 and 🎗 Breast Cancer🎗: Analysis📊 and Detection🔍

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ssandra102/Machine-Learning-API

ML API to perform OCR text extraction on receipt images and push the extracted then classified data to firebase.

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AhmedAbdAlkreem/Machine_Learning_with_CV

In this project work to extraction feature from shapes to be input of machine learning model.

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hanesy/machine-learning-challenge

Machine learning models to classify exoplanets from the raw dataset. Using Python: Sklearn, Joblib, NumPy, Pandas, Matplotlib.

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coma007/hummingbird

Hums & whistles recognition. (Project for course Computational Intelligence)

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nirmals-workspace/Tumor-Prediction

Tumor Prediction Web App

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pagalboy00/OIBSIP

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allyssonmacedo/ds-naive-bees

Working with image data, building classifiers using traditional techniques, and leveraging the power of deep learning for computer vision.

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iam-D-prog/Machine-Learning-SVC

Support Vector Machine Classification.

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aliabdallah7/smoking-detection

Data Analytics on bio-signals dataset to detect and monitor smoking behavior using machine learning classification models.

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Cozumo/Heart-Failure-Prediction

Heart Failure prediction using machine learning python

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ginamartinezl/Prediccion_Smartphone

Predicción de actividad humana de acuerdo a los sensores de un smartphone

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Amiir-zar/Iris_dataset_analysis

In this mini-project, I have endeavored to explore various machine learning techniques and conduct data analysis using the Iris dataset.

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nygulzehra/NLP-SentimentAnalysis

NLP - Sentiment Analysis

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sainikhilp/Pos_Neg_Movie_Classification

Given a set of text movie reviews that have been labeled positive or negative, a machine learning classification model should be trained and tested for predicting the nature of future movie reviews.

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roshancyriacmathew/Machine-Learning-on-Amazon-Alexa-Reviews-Dataset

This python project explains how to implement sentiment analysis using machine learning (SVM) on amazon Alexa reviews dataset.

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AhmedAbdAlkreem/Hotel-Reservation

Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.

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kunaladarsh/Credit-Card-Approval-Prediction

In this prototype, credit card approval data was analysed and a machine learning model was created to forecast the approval of credit card requests.

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thecodemancer/Prediction-Model-for-Loan-applications

This is a binary classification problem where we have information about a sample of applicants and we need to predict whether or not to grant a loan based on that data.

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manasik29/Analysis-of-Hotel-Reviews

Hotel Review Classification

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celeronCoder/heart_failure_prediction 📦

Heart Failure Prediction using Machine Learning

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enesgokdemir/Brain-Tumor-Detection

Brain Tumor Detection

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momcancode/Cuisine-Demystifier-NLP-ML-Project

Demystify Cuisine and Culture From Ingredients using Natural Language Processing and Machine Learning | Python, Pandas, Matplotlib, NLTK, scikit-learn, webscraping, Python Flask-powered API backed by PostgreSQL, Front-end with HTML, CSS, and Javascript

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khivasarap/PersonalAttacks

Developed a Classification model that identifies personal attacks in Wikipedia comments using TF-IDF Vectorizer and LinearSVC with F1-Score of 0.97

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mvikic/speaker-gender-recognition

Machine learning project for speaker gender recognition.

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eyllcyldrm/MantarSiniflandirma

SVC and KNN methods were used to predict whether mushrooms are poisonous or edible according to their properties. Random forest and chi-square variable selection methods were applied and the 10-fold cross validation method was used and f1 scores were calculated by re-estimating. Finally, the models were compared.

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