🧙 Bitcoin Hodl Prophet

Machine learning and data analysis package implemented in JavaScript and its online demo.

MNIST Sandbox for testing neural network architectures.

📊 R Programming Fundamentals: An In-Depth Guide with Comments

autoupdate paper list

Evolutionary Algorithms Framework

Statistical Machine Intelligence & Learning Engine

Simultaneously identify latent group structures and estimate group-specific coefficients in panel data models

Times Series, Classification-label/image, Regression

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

Implementation of algorithms such as normal equations, gradient descent, stochastic gradient descent, lasso regularization and ridge regularization from scratch and done linear as well as polynomial regression analysis. Implementation of several classification algorithms from scratch i.e. not used any standard libraries like sklearn or tensorflow.

Machine Learning Step By Step Implementation project with templates and evaluations for faster implementation

An NLP based APP includes features for spam detection, sentiment analysis, stress detection, hate and offensive content detection, and sarcasm detection. It leverages Natural Language Processing (NLP) techniques and machine learning models to analyze and classify text inputs. Table of Contents

Primeiro projeto apresentado na disciplina de Inteligência Computacional em Saúde utilizando a base de dados de indicadores de saúde para tarefa de classificação de indivíduos com diabetes.

We write your reusable computer vision tools. 💜

Introduction to data versioning with DVC through the "Hello World" of machine learning: Iris flower classification.

VIOLIN (Validating Interactions Of Likely Importance to the Network) is a tool used to automatically classify and judge literature-extracted interactions curated from machine readers by comparing them to existing models. This comparison can help identify key interactions for model extension.

To research and collect materials in the field of investigating feelings and emotions using the analysis of images, sound and text through artificial intelligence.

Interactive predictive analytics for Berlin's real estate market with regression and classification analyses, featuring a user-friendly GUI for selecting and visualizing different tasks, designed for Replit.

Implementation of a comparative analysis to find the best ML model for classifying dry eye disease from healthy controls using metabolomics datasets.