Amazon SageMaker Local Mode Examples
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Updated
Apr 29, 2025 - Python
Amazon SageMaker Local Mode Examples
The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel trajectories.
Density-Based Clustering Validation
Sliced Detection and Clustering Analysis Toolkit
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.
Implementación de algoritmos de aprendizaje no supervisado para realizar clustering a los datos del sensor LIDAR del KITTI-dataset
Cluster documents and extract global and local topics per cluster using LDA (Latent Dirichlet Allocation) algorithm
An optimized C/C++ implementation of the HDBSCAN algorithm for the course Advanced Systems Lab.
Density based clustering
Implemented machine learning across HR, Sales, Marketing, and PR to improve decision-making. Used models like XGBoost, Prophet, LSTM, clustering, and NLP to enhance retention, forecasting, segmentation, and sentiment analysis for business growth.
Intelli_Vision_Project
Improved Driver Distraction Detection Using Self-Supervised Learning
Repository for fine-tuning and clustering sentence embeddings for Food Items
Python library designed to classify photos containing specific individuals from a collection of images.
By utilizing various features, the Project assists the organization in categorizing countries and determining which country the NGO should allocate funds to.
Create a knowledge graph based on Towards Data Science blogs.
Finding the top news stories of 2022 among 54,000+ news on AI, ML, NLP, data science and related fields.
Desenvolvimento dos principais modelos de aprendizado de máquina supervisionado e não-supervisionado.
Discovering biomechanical phenotypes in Parkinson’s disease using GANs and explainable AI
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