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Nov 20, 2023 - Jupyter Notebook
hdbscan
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A fun Topic Modeling Project of the TV show Stargate SG1
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Sep 3, 2023 - Jupyter Notebook
The thesis presents the parallelisation of a state-of-the art clustering algorithm, FISHDBC. This objective has been achived by improving the main data structures and components of the algorithm: HNSW, MST and HDBSCAN. My contribution is based on a lock-free strategy, completely wrote in Python.
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Jan 16, 2024 - Python
Taking Taxi rank location data for Johannesburg, South Africa and clustering them geographically optimally, so that we can build service stations for all taxi ranks in that cluster.
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Jan 11, 2021 - Jupyter Notebook
Core Spanning Graph published in ICDE 2022
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Oct 1, 2022 - Python
Lyrics clustering
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Oct 27, 2023 - Jupyter Notebook
📙 End-to-end NLP and data visualization pipeline of the text from a machine learning textbook.
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Apr 19, 2021 - HTML
Master Thesis: Partial RDF Schema Retrieval
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Nov 3, 2022 - Jupyter Notebook
Supervised Machine Learning (GNB, Knn, LR, MLP & SVM) in the dataset philippines and Unsupervised Machine Learning (k-means, HAC, GMM, DBSCAN, HDBSCAN & SOM) in the datasets wingnut & h2mg_128_90
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Dec 28, 2023 - Jupyter Notebook
Text clustering: HDBSCAN is probably all you need.
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Sep 5, 2023 - Jupyter Notebook
Results of the thesis for the M.Sc. Bioinformatics program at the Friedrich Schiller University Jena.
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Jul 12, 2021 - Jupyter Notebook
Clustering of Italian Olive Oils with their Fatty Acid Composition
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Jul 31, 2022 - HTML
My learning outcomes and followup of a well instructed Coursera guided project by Ari Anastassiou.
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Jan 27, 2021 - Jupyter Notebook
Code used in my MS thesis. It's pretty messy and I will hopefully never need to fix it. Past Ben did not know what he was doing.
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Dec 2, 2020 - R
Taxonomy Completion with Embedding Quantization and an LLM-based Pipeline: A Case Study in Computational Linguistics
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Jul 22, 2024 - Jupyter Notebook
Here we use a real life taxi rank location data-set of the city of Johannesburg, South Africa. We try to pinpoint the locations to build service centers to accommodate as many taxis as possible with the help of clustering.
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Jun 20, 2020 - Jupyter Notebook
We present our concept of a new type of Active-Learning for Deep Learning with NLP text classification and experimentally prove its performance against Random Sampling as well as its runtime performance on the Security Threat dataset from CySecAlert. These new Active Learning algorithms are based on Sentence-BERT and BERTopic clustering algorith…
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Jun 5, 2022 - Jupyter Notebook
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