Text classification model - Bs.c degree final project

Pegando vários dataset e fazendo a predição

Best for beginners | Well explained ML algorithms | organized Notebooks | Case Studies

Light weight R package to do fast data splitting for cross-validation or train/valid/test splits

A high-level machine learning and deep learning library for the PHP language.

Time based splits for cross validation

The source code to Cross-Validated Off-Policy Evaluation

This is a collection of all the machine learning techniques required in any machine learning project. It contains detailed descriptions, videos, book recommendations, and additional material to properly grasp all the concepts.

The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

The goal of the project is to predict Life Expectancy using various factors and to determine the relationship that exists between them.

Predict a binary outcome (diagnosis) via support vector machine

The aim of this project is to develop a machine learning model to predict the levels of CO in the air using historical datasets containing atmospheric variables. The project makes use of variables selection, decision trees, and cross-validation techniques to ensure robustness and model accuracy.

Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

In this project we developed an HMM model for the Kuntiz domain to potentially annotate new sequences.

Sentiment Analysis using Machine Learning

R markdown files employed in my research

A tool for performing cross-validation with panel data

This is a simple E-Commerce project built to implement a Model-View-Controller (MVC) Web Application using Springboot framework and dependencies.