Analysing different dimensionality reduction techniques and svm
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Updated
May 31, 2020 - Jupyter Notebook
Analysing different dimensionality reduction techniques and svm
Exploratory Data Analysis with TSNE ON_ DonorsChoose data set
Data visualization by implementing T-sne and PCA
A Word Embedding Model for Bangla Text Corpus.
Visualization of electron microscopy datasets with deep learning
Word Embedding visualization with T-SNE (t-distributed stochastic neighbor embedding) for BERT, ALBERT, ELMO, ELECTRA, XLNET, GLOVE.
Assignments of the course
MNIST Digit recognition using machine learning techniques
This repository contains a simple script built in order to visualize the MNIST dataset in a 2D space
t_SNE - Training and testing model
A Case study is to classify the genetic mutation classes.
This repository implements visualization of tsne and sphere features.
3D T-SNE graphs with sliders and checkboxes to visualize the T-SNE cloud at every epoch for specific labels. Optionally you can also track specific datapoint by labeling it with a unique marker.
This project used NLP to topic model classical music based on musical chords. Classical composers were then clustered using the topics from the NLP, and then a neural network was used to generate original music based on trained music of the different classical composers. All of these metrics were used as a model for complexity of music.
770 Pokémon Cries from generations 1 to 6, organized using machine learning
Code to detect credit card fraud detecton
Text analysis of scripts from the recent reboot of She-Ra and the Princesses of Power
Unsupervised-ML-t-SNE-Data-Mining-Cancer. Import Libraries, Import Dataset, Convert data to array format, Separate array into input and output components, TSNE implementation, Cluster Visualization
Repo and code of the UbiComp-ISWC 2021 paper: 'Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case'
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