GitHub topics: svm-model
Wb-az/timeseries-sensor-anomaly-detection
Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM
Language: Jupyter Notebook - Size: 42.9 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 12 - Forks: 2
blondedman/support-vector-machine-from-scratch
building the support vector machine model from scratch
Language: Python - Size: 23.4 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
Akash6700882/CodeAlpha_breast-cancer-prediction
Breast cancer prediction using machine learning models on the UCI dataset
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rahitya-123/Defaults-of-Credit-Card-Prediction-using-SVM
This is a machine learning project that predicts credit card payment defaults using Support Vector Machine classification with comprehensive data preprocessing and model optimization.
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prathamesh693/02_Customer-Churn-Prediction-in-Telecom-Industry
🔍 Predict customer churn in the telecom industry using machine learning models like Decision Tree, XGBoost, and SVM. Includes data preprocessing, model training, evaluation, and a Streamlit app for interactive predictions.
Language: Jupyter Notebook - Size: 7.98 MB - Last synced at: 19 days ago - Pushed at: 20 days ago - Stars: 3 - Forks: 0
arashabe/ML_Obesity_Estimation
This project aims to estimate obesity levels in individuals from Mexico, Peru, and Colombia based on their eating habits and physical condition. Using machine learning classification models, we analyze patterns in the dataset to predict obesity levels with high accuracy.
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Mahtab-Shabani/Neural-Network-SVM
Language: MATLAB - Size: 17.6 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
ThanhNg224/Scrape-Classify
Collected 60,000 Vietnamnet articles, preprocessed the data, and trained a scikit-learn model with over 91% accuracy for article classification.
Language: Jupyter Notebook - Size: 272 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 4 - Forks: 0
WeltXing/libsvm-sc-reading
阅读LibSVM源码的知识整理与思考（已完结）
Size: 4.79 MB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 33 - Forks: 2
anujdutt9/Handwritten-Digit-Recognition-using-Deep-Learning
Handwritten Digit Recognition using Machine Learning and Deep Learning
Language: Python - Size: 13.4 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 249 - Forks: 134
Agoons20/Portfolio-Mgmt-And-Machine-Learning-in-Finance
Investment Analysis and Asset Mgmt, Time Series Analysis & Forecasting, Machine Learning in Finance & Causal Inference Methods
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desiFish/Book-Genre-Prediction
The aim of this project is to apply the principles of text mining on a piece of literary text, and categorize it into the genre into which it best fits.
Language: Jupyter Notebook - Size: 5.14 MB - Last synced at: 18 days ago - Pushed at: 6 months ago - Stars: 8 - Forks: 1
1247350913/compassion.ai
Responsive web app -- An employee wellbeing predictor using supervised machine learning -- Python3, Streamlit.io, Scikit-learn, Jupyter Notebook
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jecampagne/cours_mallat_cdf
Lecture notes of Professor Stéphane Mallat - Collège de France - Paris
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Tushar-Shinde31/Blood_Group_Detection_Using_Fingerprint-Flask-
A Flask-based ML application that predicts blood groups using fingerprint images. It integrates a TensorFlow (Keras) model with 89% accuracy, featuring user authentication, database management with Flask SQLAlchemy & SQLite, and a frontend built using flask. 🚀
Language: HTML - Size: 6.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 0
tejaswirupa/Exploring-Home-Ownership-with-Support-Vector-Machines
Used SVM with various kernels to predict home ownership status based on census data. Identified age, number of bedrooms, and household size as top factors influencing ownership.
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Akhil-peram/Smart-Crop-Recommendation-System
Crop Recommendation System using Blended XGBoost and SVM Machine Learning Model
Language: HTML - Size: 119 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 1
amazingcoderpro/flight-delay-prediction
2018年全球程序员大赛参赛作品, 在给定的数据基础上,加上自己采集的飞机、天气等影响因子, 利用svm算法预测航班延误率.
Language: Python - Size: 7.2 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 4
mehmoodulhaq570/Machine-Learning-Models
A repository consisting of machine learning models for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.
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mehtadigisha/Iris-Flower-Classification
Iris Flower Classification
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nadhif-royal/wine-svm-classification
This project is part of my coursework for the **Advanced Artificial Intelligence Practicum (Machine Learning)** class. It demonstrates the use of the **Support Vector Machine (SVM)** algorithm to classify wine data, followed by evaluation using several classification metrics.
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mgsandaruwan/Diabetic_Risk_Prediction_App
A Flask web application that predicts diabetes risk using machine learning. The model is trained on the Pima Indians Diabetes Dataset and optimized to prioritize false positives over false negatives for medical safety. Features include patient data input, real-time predictions, and detailed risk assessment.
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Gorav22/Medical-Diagnosis
This is a Streamlit web application that predicts various diseases based on user input. It uses pre-trained machine learning models to provide predictions for diabetes, heart disease, Parkinson's disease, lung cancer, and hypothyroidism.
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parnika-singh/OncoVision
An intelligent machine learning model for classifying breast cancer cells as benign or malignant using the UCI Breast Cancer Wisconsin dataset.
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Shakilgithub20/News-Classification
Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1
PURPLEWATER00/STROKE-PREDICTION-PROJECT
DATA SCIENCE PROJECT ON STROKE PREDICTION- deployment link below 👇⬇️
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Sameer051022/SVM_Classifier_Model
"Detailed exploration and implementation of the Support Vector Machine (SVM) classifier for binary and multi-class classification tasks, featuring robust data preprocessing, model tuning, and visualization techniques using Python’s sklearn."
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BlockNotes-4515/Spotify-Music-Recommedation-System
Language: Python - Size: 37.4 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0
1adityakadam/Multi-Model-Car-Acceptability-Classification
A Machine Learning Approach for Comparative Analysis of Logistic Regression, SVM, and Random Forest Techniques
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nikhilfuke1/Wine-Quality-Prediction-Support-Vector-Machine-Python-Projects
This project focuses on predicting the quality of wine using a Support Vector Machine (SVM) model. The model is trained on wine characteristics and aims to classify wines based on their quality score.
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aryanparmarr/Sentiment-Analysis-of-Product-Reviews
Sentiment analysis, also known as opinion mining, is a NLP and ML task that involves identifying and categorizing sentiments expressed in text data. In the context of product reviews, sentiment analysis aims to determine whether the feedback provided by customers is positive, negative, or neutral.
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udityamerit/Breast-Cancer-Prediction-using-different-ML-models
This project implements multiple machine learning algorithms to predict breast cancer diagnoses based on medical diagnostic data. The project compares the performance of various models, providing insights into which algorithms are most effective for this task.
Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 2
HoangVanTruc/ML-customer-loyalty
Course project on the topic "Applying Machine Learning to Improve Customer Loyalty." Conducted by a group of 5 members.
Language: Jupyter Notebook - Size: 546 KB - Last synced at: 19 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
mardavsj/Wine-Quality-Prediction
Predicting wine quality using Support Vector Machine (SVM) algorithm based on its chemical properties.
Language: Jupyter Notebook - Size: 187 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
Shubhamkumar-op/Disease_prediction
A disease predictive system using machine learning can mainly for diabetes and heart disease related make existing healthcare tasks easier, safer, and more effective by providing accurate predictions and personalized recommendations based on individual health data
Language: Jupyter Notebook - Size: 430 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0
ikanurfitriani/Diabetes-Prediction
This repository contains code archives for Diabetes Prediction with Machine Learning
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MelikaaS/Rain_Prediction_In_Au
I'm going to practice classification algorithms sch as Logistic Regression, KNN, DecisionTree, SVM to create a model based on training data set and evaluate testing data using evaluation metrics such as 'Acuuracy Score', 'Jaccard Index', 'F1_Score', 'LogLoss', 'Mean Absolute Error', 'Mean Squared Error' and 'R2-Score'
Size: 1020 KB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0
ellie991/Spark-Spotify-Analysys
SPOTIFY - Big Data Analysis w/ Spark
Language: Python - Size: 11 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
mljs/svm
Support Vector Machine in Javascript
Language: JavaScript - Size: 1.2 MB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 39 - Forks: 7
AlanthiasCO/Houses_Price
Predicting house prices using machine learning models
Language: Jupyter Notebook - Size: 652 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
ruoheng-du/applied-machine-learning
Applied Machine Learning | Fall 2024
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gregothebyteknight/x-ray-models
Model search for X-ray data
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ikanurfitriani/Final-Project2-LogisticRegression-SVM
This repository contains code archives for models that predict rainfall in Australia. Link deployment:
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Akimuddinshaikh/Master-s-Research-Project
A hybrid approach combining texture-based (GLCM) and deep learning (ResNet50) features with unsupervised clustering and supervised classification for detecting liver diseases. Achieved 99%-100% accuracy using SVM, XGBoost, and Random Forest on pseudo-labeled medical imaging datasets
Size: 9.46 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
viktoriaszabo-sz/Brain-Tumor-Classification
Brain Tumor Classification with support vector machines
Language: Python - Size: 79.6 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
fajarkrisnajaya/Dashboard-Monitoring-BRImo
Undergraduate Thesis - Decision Support System
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arpanpramanik2003/diabetes-prediction
Diabetes Prediction using Machine Learning is a classification project that predicts the likelihood of diabetes based on health parameters such as age, BMI, and blood pressure. The model is built using the Support Vector Machine (SVM) algorithm.
Language: Jupyter Notebook - Size: 89.8 KB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
chandadiya2004/diabetes-prediction
The Diabetes Prediction project utilizes machine learning techniques to determine the probability of an individual having diabetes based on various health metrics like age, BMI, and blood pressure. The prediction model is developed using the Support Vector Machine (SVM) algorithm, which classifies individuals based on these parameters.
Language: Jupyter Notebook - Size: 336 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
dhrupad17/Machine-Learning-A-Z
This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance
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eleanormadderra/Spotify_DataScience_Analysis
Created multiple models to analyze a Spotify dataset and predict playlist genre. Dataset download from Kaggle (https://www.kaggle.com/datasets/joebeachcapital/30000-spotify-songs).
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parsaBehjatTabrizi/training-a-svm-model-on-heart-attack-data-set-
heart-attack-risk-predictor
Language: Python - Size: 71.3 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
WaliMuhammadAhmad/AIVoice-Detection
The project presents an SVM model trained to distinguish between Real human voices and AI-generated voices.
Language: Python - Size: 111 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0
katlass/Machine-Learning
A Collection of Data Science and Machine Learning Projects Utilizing Scikit-Learn, TensorFlow, and R for Predictive Modeling, Time Series Analysis, and Statistical Methods.
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singh-dhruv/Data-Visualization-with-Accuracy-metrics
Welcome to this repository! Here we loaded the iris_dataset , upon training, testing and perform operations on it resulted in beautiful data visualizations along with accuracy metrics. Data Visualization and accuracy metrics are provided for some of the models that are used.
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cliffordnwanna/ELECTRIC_VEHICLE_TYPE_PREDICTION
This project uses Support Vector Machines (SVM) to predict electric vehicle prices based on features like make, model, range, and base MSRP. It includes data preprocessing, model training, and evaluation using performance metrics like MSE and R-squared. The model aims to enhance vehicle price prediction for market analysis and valuation.
Language: Jupyter Notebook - Size: 239 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
kshitizrohilla/user-purchase-prediction-and-classification-using-support-vector-machine-algorithm
This project implements the Support Vector Machine (SVM) algorithm for predicting user purchase classification. The goal is to train an SVM classifier to predict whether a user will purchase a particular product or not.
Language: Jupyter Notebook - Size: 73.2 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0
tanisha10101/Machine-Learning-LAB
This repository contains experiments on data visualization, cleaning, preprocessing, and machine learning techniques. It covers topics like prediction models, reinforcement learning, SVM, and data sampling to provide hands-on experience in data science and machine learning.
Size: 1.25 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
gaaniruddha/FIT5149-A2
This repository contains assignment #2 that was completed as a part of "FIT5149 Applied Data Analysis", taught at Monash Uni in S2 2020.
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gaaniruddha/FIT5149-A1
This repository contains assignment #1 that was completed as a part of "FIT5149 Applied Data Analysis", taught at Monash Uni in S2 2020.
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FatimaUriarte/R
R markdown files employed in my research
Size: 893 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
pranava007/AI_Support_Vector_Machine_Kernal-linear_ML
This is a Support Vector Machine
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BandaAkshith/House-Prices-Prediction-using-TFDF
House Price Prediction
Language: Jupyter Notebook - Size: 526 KB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
BrycenAB/MachineLearningModel_Trainer_Predictor
ML test/train application utilizing an SVM algorithm and a GUI built with TKinter.
Language: Python - Size: 36.1 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
jonathanroy105/Liver-Disease-Prediction
This project aims to predict liver disease using patient data. Through comprehensive Exploratory Data Analysis and model-building, we identify significant patterns and develop an SVM (Support Vector Machine) model as the most accurate classifier. The project also includes a Streamlit web application for easy access and interaction with the model.
Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
SaraAlturk/BreastCancerPrediction
Breast Cancer Prediction implementation using Logistic Regression, SVM, and perceptron from scratch
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AayushPrranav/Comparative-Analysis-of-Machine-Learning-Algorithms-on-the-MathSuccess-Dataset
MathSuccess - it is a dataset of 2600 rows containing student info and if they passed a highly competitive Math Class. I used 5 models to compare its accuracy in R-Studio. Models Used : ctree, rpart, svm, randomForest, nnet
Size: 9.77 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
Goutam1511/Sign-Language-Recognition-using-Scikit-Learn-and-CNN
The project aims at building a machine learning model that will be able to classify the various hand gestures used for fingerspelling in sign language. In this user independent model, classification machine learning algorithms are trained using a set of image data and testing is done. Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN).
Language: Python - Size: 35.2 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 14 - Forks: 3
vishnun0027/Sentiment-Analysis
Here the several ways to perform sentiment analysis on text data, with varying degrees of complexity and accuracy
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axelmora/svmdashboard
SVM app
Language: R - Size: 79.1 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
AllanOtieno254/Cancer-Classification-Support_Vector_Machine-SVM
machine learning project focused on classifying cancer types using Support Vector Machine (SVM) algorithms.
Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
Gokulraj0906/Foresight
Foresight simplifies the complexities of algorithmic trading by leveraging AI to offer personalized trading strategies, explain complex algorithms in plain language, and continuously refine recommendations based on user interactions and market dynamics.
Language: Python - Size: 169 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
JerryWeiAI/COVID-Q
COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"
Language: Python - Size: 26.7 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 23
Saeedanbarimoghadam/Breast-Cancer-Detection-Using-Machine-Learning-Algorithms
Language: Jupyter Notebook - Size: 1.62 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0
kelvinnn25/antilgbtqlegislationandcrimes
I tested my hypothesis on whether or not there is a correlation between anti-lgbtq hatecrimes and anti-lgbtq legislation. I used regression, support vector machines, and random forest.
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DeepsDK4/Heart-disease-prediction-project-using-machine-learning
Machine learning project for heart disease prediction using Kaggle dataset. Developed and trained models for SVM, Logistic Regression, Decision Tree, K-Nearest Neighbors (KNN), and Random Forest. Achieved an 84% accuracy with the SVM model, outperforming other methods.
Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
SamirElgehiny/baby-cry-analysis
baby cry analysis to identify the reason behind baby's cry
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shimazahabi/Rayan-AI-Course
RAYAN AI international competition training course : Homeworks and Projects
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BlockNotes-4515/Multiple-Disease-Detection-System-All_In_One-
🩺 Heart Disease Detection System 💓 This AI tool predicts heart disease risk by analyzing key health metrics like age, cholesterol, and blood pressure. 🧠🔍 It provides quick, accurate results to help prevent serious conditions and support early treatment. Perfect for both healthcare pros and patients! 🌟
Language: Jupyter Notebook - Size: 557 KB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1
raghuvamsicoding/Breast-Cancer-Detection-with-ML
A small comparison between the K Nearest Neighbors Classification and Support Vector Machine Classification on UCI Dataset for Breast Cancer Detection
Language: Jupyter Notebook - Size: 284 KB - Last synced at: 10 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
MuntahaShams/breast-cancer-detection-
breast cancer detection using KNN and SVM
Language: Jupyter Notebook - Size: 265 KB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 2
Nanthini10/Sentiment-Analysis-on-Twitter-data
Performing sentiment analysis on tweets obtained from twitter.
Language: Python - Size: 79.4 MB - Last synced at: 11 months ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 5
Sauhardya/Malicious_URL_Detector
Language: Python - Size: 1.9 MB - Last synced at: 11 months ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 2
Manisha2612/Multi-class-and-Multi-Label-Classification-Using-Support-Vector-Machines
Multiclass Multilabel Classification using SVM on Frogs Dataset
Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
MassimilianoVisintainer/Diabetics-Prediction-Model
Machine learning model for diabetes prediction.
Language: Python - Size: 11.7 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
fmaliks25/Compare_model_accuracies
Machine Learning Binning: Process of converting continuous variables into categorical ones.
Language: Jupyter Notebook - Size: 261 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Ahisingh/morse-code-to-text-using-Eye-blinking
Morse code to text converter by detecting eye blink on the basis of EAR threshold using RANDOMFORESTCLASSIFIER model and HOG+SVM model
Language: Python - Size: 619 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
corval/IA-Candidato
Modelo de Maquina de soporte vectorial para la clasificación binaria de candidatos postulandose a un cargo dentro de una empresa.
Language: Python - Size: 7.81 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
TrixiePhany/Pyswarm-Optimization
To optimize the hyperparameters of the SVM model to maximize the accuracy. Define a function that takes the hyperparameters as input and returns the negative accuracy (since PSO minimizes the objective function) in python
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linikaalmeida2023/Phyton-ML-Heart-Disease-Risk-Assessment
This repository describes the eassessment for CCT College Dublin's HDip Strategic Thinking subject. The project uses Kaggle heart stroke data to analyze risk factors before contracting a health plan. Applies project management methodologies and implements KNN, SVM, and Random Forest classification.
Language: Jupyter Notebook - Size: 7.28 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
Mostafa-Tarek/3D-Perception
PR2-Robot classifies the target objects on a tabletop using the SVM model
Language: C++ - Size: 15.7 MB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
FardinHash/Stock-Market-Analysis
Stock Market Analysis Techniques, Algorithms, Sample Experiments
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samnaveenkumaroff/Prodigy-ML-03
A support vector machine (SVM) to classify images of cats and dogs from the Kaggle dataset
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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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vlb20/Machine_Learning
Workflow and script solutions of the 3 mini-contests of the Machine Learning course held by Carlo Sansone. Year 2023-2024.
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fatmanurazbas/diabet-project
This is a diabetes prediction system based SVM model.
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Szafranerio/SVM
🤖 Machine Learning (SVM), for Iris Project, Breast Cancer and Cell Sample
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nicolay-r/tone-classifier
Application of SVM classifier and NN classifiers for sentiment classification of Russian Twitter messages
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officio-indrajeet/Adaptive_Applications_CS7IS5
Adaptive Applications assignments taught at Trinity College Dublin.
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HakimGhlissi/Parkinsons-Disease-Detection-Using-SVM
Built a Parkinson's Disease Detection tool using SVM
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iliastzanis/MScThesis-IonianUniversity
My Diploma Thesis for my MSc in Big Data & Networked Systems at Ionian University.
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