ML

Isn’t it enough to see that a garden is beautiful without having to believe that there are fairies at the bottom of it too?

In this project we use this data: https://www.kaggle.com/competitions/customer-churn-prediction-2020/overview from Kaggle. The main goal of the project is to predict whether a customer will change telco provider

Marine biologists engaged in the study of coral reefs invest a significant portion of their time in manually processing data obtained from research dives. The objective of this challenge is to create an image segmentation pipeline that accelerates the analysis of such data. This endeavor aims to assist conservationists and researchers in enhancing their efforts to protect and comprehend these vital ocean ecosystems. Leveraging computer vision for the segmentation of coral reefs in benthic imagery holds the potential to quantify the long-term growth or decline of coral cover within marine protected areas.

Packaging n improving Linux tools for preprocessing images and helping the scanning and digitizing AI ...

2023 AI-Languages updates for Sino-Korean and Tibetan (following 2020-21 works on Ukraine reports, and Arabic texts)

Module for extracting furniture products from webpages using NER

Meetup PyMX Septiembre 2023 Usando Servicios Administrados de AI de AWS con Python y Boto3

Implementation of Geographically Weighted Regression (GWR) using Apache Spark, Spark ML and Apache Sedona.

Modello Neurale per l'indoor localization di un SuperMarket.

Yet another one news recommender for MLOps & Production course by ods.ai

1st semester at VK education (Technopark)

Progetto di Comparazione tra più algoritmi di CV per risolvere il problema dell' Indoor Localization

Coursera's Introduction to Trading, Machine Learning, & GCP

FastAI course demo project