support-vector-classification
There are 14 repositories under support-vector-classification topic.
brainhack-school2020/abide-fmri
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
alicevillar/titanic-kaggle
Titanic rescue prediction using Decision Tree, SVM, Logistic Regression, Random Forest and KNN. The best accuracy score was from Random Forest: 84.35%
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.
andiosika/Flatiron_Capstone
Sentiment Analysis using Natural Language Processing (NLP) Multi-Classification Support Vector Modeling for & Clustering / Segmentation using Latent Dirichlet Allocation (LDA):
Saanvi-Tayal/AI-Heart-Disease-detector-
Heart Disease classification, Accuracy-85.25% (4models)
urmel79/Jupyter_GettingStarted2ML
This Getting Started Tutorial systematically demonstrates the typical ML work process step-by-step using the powerful and performant Support Vector Classifier (SVC) and the beginner-friendly Iris Dataset. Furthermore, the selection of the correct SVC kernel and its parameters are described and their effects on the classification result are shown.
whoIsOneZero/ransomware_detection_mitigation
Uses Cuckoo Sandbox and a trained SV classifier to accurately detect ransomware samples.
Benjaminbhk/Demo_Project_ML_PCA_face_recognlition_benbhk
Demo_Projects_Benbhk_machine_learning_scikit-learn
chloe-s-wang/2021-03-17-ML-Python-Job-Search-Prediction-SVM
This project uses Support Vector Machine algorithms to predict whether participants of a data science training program would be looking for a job change.
WizzX7/Competition-AXA-Data-Science-Challenge
AXA Data Science Challenge
BenjaminRueling/Red-Wine-Quality
Kernel-Methods on a Red-Wine Dataset
prabhatk579/machine-learning-algorithms-archive
Implementation of different types of machine learning algorithm and there performance comparison on a same dataset
sandipanpaul21/KNN-Naive-Bayes-SVM-in-Python
ML Topics include KNN. Naive Bayes and Support vectors both in Theory and Python Code. KNN Imputation technique is also explained in this branch.