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Topic: "support-vector-classification"

brainhack-school2020/abide-fmri

Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.

Language: Jupyter Notebook - Size: 42.5 MB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 35 - Forks: 13

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: about 1 month ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

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%

Language: Jupyter Notebook - Size: 817 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2

andiosika/Flatiron_Capstone

Sentiment Analysis using Natural Language Processing (NLP) Multi-Classification Support Vector Modeling for & Clustering / Segmentation using Latent Dirichlet Allocation (LDA):

Language: Jupyter Notebook - Size: 145 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 156 MB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

Saanvi-Tayal/AI-Heart-Disease-detector-

Heart Disease classification, Accuracy-85.25% (4models)

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

Milanpeter-77/Competition-AXA-Data-Science-Challenge

AXA Data Science Challenge

Language: Python - Size: 2.9 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

whoIsOneZero/ransomware_detection_mitigation

Uses Cuckoo Sandbox and a trained SVM classifier to accurately detect ransomware samples.

Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

amatov/DiseaseDetectionUrine

Language: R - Size: 2.97 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

BenjaminRueling/Red-Wine-Quality

Kernel-Methods on a Red-Wine Dataset

Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Benjaminbhk/Demo_Project_ML_PCA_face_recognlition_benbhk

Demo_Projects_Benbhk_machine_learning_scikit-learn

Language: Jupyter Notebook - Size: 602 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 4.14 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

prabhatk579/machine-learning-algorithms-archive

Implementation of different types of machine learning algorithm and there performance comparison on a same dataset

Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Related Topics
logistic-regression 4 machine-learning 4 random-forest-classifier 3 support-vector-regression 3 support-vector-machine 3 classification 2 knn-classification 2 scikit-learn 2 data-science 2 python 2 seaborn 2 random-forest 2 pandas 2 numpy 2 matplotlib 2 kfold-cross-validation 2 decision-trees 2 kernel-ridge-regression 1 voting-ensemble 1 support-vector-classifier 1 support-vector-machine-svm 1 support-vector-machines 1 linear-regression 1 machine-learning-algorithms 1 lda-classification 1 lasso-regression 1 gaussian-naive-bayes-classification 1 extra-trees-classifier 1 elasticnet-regression 1 decision-tree-regression 1 bagged-decision-tree-classification 1 adaboost-classification 1 prostate-cancer 1 pancreatic-cancer 1 jupyter-notebook 1 iris-dataset 1 iris-classification 1 employee-dataset 1 ransomware-detection 1 malware-analysis 1 spyder 1 knearest-neighbor-classifier 1 decision-tree-classifier 1 crisp-dm 1 regression 1 support-vector 1 naive-bayes-classifier 1 knn-imputation 1 bayes-theorem 1 svm-training 1 svm-model 1 svm-kernel 1 svm-classifier 1 svm 1 plotly 1 nilearn 1 leave-one-out-cross-validation 1 jupyter-notebooks 1 group-kfold-cross-validation 1 fmri 1 cv-classifier 1 cross-validation 1 brainhack-school 1 autism 1 abide-data 1 principal-component-analysis 1 titanic-kaggle 1 sklearn 1 performance-measurements 1 machine-learning-projects 1 knn-algorithm 1 nlp 1 natural-language-processing 1 lda 1 latent-dirichlet-allocation 1 osteoarthritis-severity-detection 1 osteoarthritis 1 multivariate-data-analysis 1 multiple-myeloma 1 minimax-rate-optimal-estimator 1 maximization-of-mutual-information 1 max-min-criterion 1 lung-cancer 1 huntingtons-disease 1 colorectal-cancer 1 cervical-cancer 1 cardiovascular-diseases 1 cancer-of-the-uterus 1 breast-cancer 1 amyotrophic-lateral-sclerosis 1 alzheimers-disease 1 scikitlearn-machine-learning 1 resting-state-fmri 1 reproducible-science 1 project-management 1 preparation-script 1