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

Density based clustering

An optimized C/C++ implementation of the HDBSCAN algorithm for the course Advanced Systems Lab.

paper: https://link.springer.com/chapter/10.1007/978-3-031-78093-6_1

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.

quitefastmst: Euclidean and Mutual Reachability Minimum Spanning Trees

Finding the top news stories of 2022 among 54,000+ news on AI, ML, NLP, data science and related fields.

Create a knowledge graph based on Towards Data Science blogs.

By utilizing various features, the Project assists the organization in categorizing countries and determining which country the NGO should allocate funds to.

Recommends songs from dataset of 232K songs from Spotify. Uses HDBSCAN and Siamese Network. An ML Project