M

machine learning

Provides biomedical plotting archetypes fully interoperable with the matplotlib API.

Hybrid cloud-edge ML system for predictive rain control with automated retraining, monitoring, and Raspberry Pi hardware actuation.

Implementation and analysis of Estimation of Distribution Algorithms (EDA) applied to binary, combinatorial, continuous, and discrete optimization problems in Python.

Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

Um tutorial prático mostrando como usar LightGBM para prever conversão em depósitos a prazo, reduzir custos operacionais e aumentar o ROI de campanhas de marketing direto.

$ mldev | is a data science experiment automation and reproducibility toolkit.

check our experiment templates: https://gitlab.com/mlrep

Python software for identifying dynamical systems and hidden patterns from time series data

Analysis of Kilter Board data, along with predictive models for V-grades based on holds and angle.

Analysis of Tension Board 2 data, along with predictive models for V-grades based on holds and angle.

Découverte de ce monde (Data / ML) via un projet perso. Basés sur des relevés météo de différentes sources, avec des outils comme Pandas, Dask, Spark, Polars, ..., du ML et du DL. Une couche de visualisation via PowerBI.

This repo will have all resources, labs, data which I use/d on Kaggle Network

IndyPy Talk 2023-02-14: Using AWS Artificial Intelligence services with Python https://www.meetup.com/indypy/events/289628031/

Python Panamá Meetup Vol 41 Usando Servicios Administrados de AI de AWS con Python y Boto3 https://www.meetup.com/python-panama/events/300787609/

Model_of_Virality is a machine learning and data-modelling initiative designed to analyse image-memes and identify the features that drive their online spread. Leveraging visual attributes (such as composition, subject matter and emotion) and sharing metrics, the system trains models to predict a meme’s likelihood of “going viral.” By combining statistical analysis with practical-engineering pipelines, the project provides both insight into what makes a meme successful and a reusable framework for meme virality prediction.

Source code for a kinetic theory inspired learning model for data-science applications. Manuscript: https://doi.org/10.1088/2632-2153/adf93a

A project that utilizes machine learning to predict shrimp growth to optimize the amount of feed used.

FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer

Instance Hardness analysis in Machine Learning