tsne-visualization

AindriyaBarua/Restaurant-chatbot

Tutorial to make a simple NLP chatbot with Intent classification, FastText, Flask, AJAX

Jeffrey-Ede/datasets

Visualization of electron microscopy datasets with deep learning

dayekb/Study

Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки

ptiagi/IP2Vec

This repo contains implementation of IP2Vec model which is used for learning similarities between IP Addresses

havelhakimi/DryBeans

Understand and Run Naive Bayes Algorithm on Dry Beans dataset

Mahiro2211/T-SNE_visualization

适用于深度哈希图像检索的T-SNE降维算法可视化的脚本

pandas9/gan-latent-space-tsne-js

Robust way to explore GAN model latent space on web using three.js & t-SNE

code2k13/ClustrLab2k13

A python based tool for clustering text , CSV and logs.

AbdElrahman-A-Eid/dry-bean-classification

Our first participation in a Kaggle competition. Dry Beans Classification is an unranked competition held by ITI AI-Pro.

janmejaybhoi/NLU_Word_Embedding

Word Embedding visualization with T-SNE (t-distributed stochastic neighbor embedding) for BERT, ALBERT, ELMO, ELECTRA, XLNET, GLOVE.

charumakhijani/credit-card-fraud-detection

Elliott-dev/Machine-Learning-Cryptocurrency-Clusters

I am on the Advisory Services Team of a financial consultancy. One of MY clients, a prominent investment bank, is interested in offering a new cryptocurrency investment portfolio for its customers. The company, however, is lost in the vast universe of cryptocurrencies. They’ve asked me to create a report that includes what cryptocurrencies are on the trading market and determine whether they can be grouped to create a classification system for this new investment.

prishanmu/She-Ra

Text analysis of scripts from the recent reboot of She-Ra and the Princesses of Power

RimTouny/Credit-Card-Fraud-Detection

Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.

saralafia/ERI-dashboard

Dashboard of UCSB ERI research outputs for Patterns 2021 paper

avr2002/Topic-Modelling-Using-RACE-Dataset

A Project on Topic Modeling using alogoriths like LSA/LSI, LDA, NMF on RACE dataset

besrym/Words-Embedding-Visualization

a simple python script to train and visualize a WordsEmbedding

cmccomb/map-of-mse

fatimagulomova/iu-projects

IU Projects

FilipTirnanic96/t-SNE

Implementation of t-SNE and Barnes-Hut-SNE algorithm. Comparison of algorithm implementation with sklearn library implementation on sample databases.

harshit37/Dimensionality-Reduction-using-PCA-LDA-and-t-SNE

Analysing different dimensionality reduction techniques and svm

kalebers/Data_Streams_Parametric_T-SNE

Research for Parametric T-SNE in high to low dimensional data stream, published in 2021 by Kalebe Rodrigues Szlachta and Andre de Macedo Wlodkovski, oriented by Jean Paul Barddal, Computer Science graduation from Pontifical Catholic University of Parana (PUCPR)

krishnachaitanya7/Manifolk

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.

rodrigues-aline/wav2vec2_interpretation

Investigating wav2vec2 context representations and the effects of fine-tuning

vaitybharati/P34.-Unsupervised-ML---t-SNE-Data-Mining-Cancer-

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

zj-jayzhang/visualization

This repository implements visualization of tsne and sphere features.

AmirHHasani/Manual-PCA-TSNE

BNTechie/Data-preprocessing

Creating empty dataframe, data normalization, Dimensionality reduction, Outlier detection, Overfitting of model and its solution, Remove column with zero values, Replace NA with zeros.

cmccomb/map-of-ece

cmccomb/map-of-ini

Dino-Boooo/Fashion-MNIST-Modeling-Comparision

Compares two popular machine learning models - CNNs and LightGBM - and their effectiveness in image classification using the Fashion-MNIST dataset.

KevinDepedri/Novel-Class-Discovery

Testing AutoNovel and UNO novel-class-discovery techniques to assess their prerformances under different settings. Plot of tSNE to evaluate clustering capabilities for known and new classes

mahnoorsheikh16/Sketchify-A-Quick-Draw-drawing-classifier

Implementation of a sketch‐recognition pipeline inspired by Google’s Quick, Draw!. Includes data preprocessing and feature‐engineering scripts, three Bayesian classifiers alongside Logistic Regression, SVM, K-NN and XGBoost baselines, and an RNN model.

RimTouny/User-Forest-Cover-Type-Prediction

Predicting Colorado forest cover types using diverse ML models for classification. Baseline creation, feature selection, comparison, and tuning optimize accuracy in this University of Ottawa Master's Machine Learning course final project (2023).

shahendae/Pen-Based-Recognition

Pen-Based Recognition of Handwritten Digits.