t-sne

A multi-class classification problem where the task is to classify a file to one of 9 types of Malware usually found in a Windows system, using information from the raw data and metadata of the file.

machine-learning data-mining cross-validation parallelization feature-extraction xgboost bag-of-words logistic-regression t-sne feature-engineering random-search parallel-processing gradient-boosting k-nearest-neighbors univariate-analysis microsoft-malware multiprogramming microsoft-malware-detection multi-variate-analysis

Updated Jul 20, 2021
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mrcreasey / oc-ds-p6-nlp-computer-vision

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Automatic classification of consumer goods from text and images

nlp computer-vision deep-learning tensorflow word2vec keras cnn supervised-learning pca semi-supervised-learning topic-modeling gensim tf-idf transfer-learning t-sne vgg16 unsupervised-learning bert sentence-embeddings

Updated Oct 5, 2022
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IndraNandagopal / Unsupervised-ML-Myopia-Clusters

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Used several clustering algorithms to explore whether the patients can be placed into distinct groups so that myopia, or nearsightedness can be predicted.

pandas-dataframe pca-analysis t-sne unsupervised-learning k-means-clustering

Updated Nov 6, 2022
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yessasvini23 / T-SNE_AI-ML_Model

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t-distributed stochastic neighborhood embedding (t-SNE) is a unsupervised non-linear dimensionality reduction and data visualization technique. The math behind t-SNE is quite complex but the idea is simple. It embeds the points from a higher dimension to a lower dimension trying to preserve the neighborhood of that point. I compared PCA and t-SN…

pca t-sne

Updated Mar 28, 2024
Python

VinylBr / DeepLearningvsML_TBResistancePrediction

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Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data

sklearn convolutional-neural-networks t-sne truncated-svd pytorch-implementation xgboost-classifier stratified-cross-validation adaboostclassifier randomforestclassifier

Updated Apr 24, 2024
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hagax8 / arabidopsis_viz

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Clustering of 1,135 Arabidopsis thaliana genomes from 1001 Genomes Project (https://1001genomes.org/)

clustering gtm ancestry t-sne arabidopsis 1001genomes

Updated Nov 2, 2018
HTML

leihao1 / CNN-CIFAR-10-Image-Classification

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Implemented CNN for CIFAR-10 image classification task using Pytorch, dimension reduction was done by PCA and t-SNE.

sklearn cnn pca image-classification t-sne cifar-10 pytorch-cnn

Updated Jun 21, 2022
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nredell / RARI

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A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions

t-sne cluster-analysis ari umap cluster-validity-index adjusted-rand-index ranked-adjusted-rand-index rari cluster-validation

Updated Dec 26, 2022
Python

AbdullahMakhdoom / Image-Search-Engine

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Performed feature extraction and similarity lookup on Caltech101.

t-sne computervision imagesearch embeddings-similarity

Updated Mar 14, 2021
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toshitorihara / unsupervised-ml-challenge

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Cryptocurrency Clusters

clustering pca t-sne k-means unsupervised-machine-learning datapreparation

Updated Oct 25, 2021
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Yuliia-Sushko / Python_Data_Analysis

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statistics numpy linear-regression eda pandas data-visualization pca-analysis xgboost adaboost t-sne decision-tree-classifier classification-algorithims random-forest-classifier business-application

Updated Mar 4, 2023
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alirezarahimi1393 / Classical-Learning

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Welcome to my Classical Learning Projects repository, where I showcase my work in the fields of supervised and unsupervised learning. Here, you'll find code and datasets for various projects, such as classification and clustering tasks, implemented using popular algorithms like decision trees, neural networks, and k-means.