DL tool for white matter hyperintensities segmentation

We leverage machine learning and data analysis to address real-world challenges in the copper industry. Our documentation encompasses data preprocessing, feature engineering, classification, regression, and model selection. Explore how we've enhanced predictive capabilities to optimize manufacturing solutions.

Designed and implemented an ANPR system using deep learning for accurate license plate identification. The project involved data preprocessing with OpenCV, TensorFlow, and OCR techniques for real-time identification. Model performance was evaluated using cross-validation and metrics like accuracy and F1 score.

Developed a sentiment analysis model to measure tweet positivity across regions using advanced NLP techniques. This project involved data preprocessing, feature engineering with TF-IDF and Doc2Vec, and training supervised machine learning models. Performance was validated using cross-validation and metrics like accuracy and precision

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

Spatiotemporal resampling methods for mlr3

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.

Time based splits for cross validation

This project aims to develop an Intrusion Detection System (IDS) 🕵️‍♂️🕵️‍♂️ using deep learning techniques. The IDS model is designed to detect malicious activities and potential threats within a network by analyzing traffic data.

Finding Relationships in Data: UBC Term Project 2024W2 - Predictive Modelling

Simple and flexible classical ML module that can be used for recording baseline ML performance.

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.

The source code to Cross-Validated Off-Policy Evaluation

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

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