Machine Learning Orchestrator

This study investigates the quality of exercise using the machine learning algorithms and classifies into varying degrees of effectiveness compared to standard practices. The exercise analyzed is dumbbell pull-ups.

Check my ML project for house prices prediction using a cambination of Random Forests and Extreme Gradient Boosting Regressors

Iris Classification : Developed a ML Model for classifying iris flowers based on their features using Python, scikit-learn, and TensorFlow.

What important conclusion a company and an employee can take out of Analysis and Predicting Salary

Walmart sales prediction using Python and XGBoost

Repository for the Capstone Project of the MBD-PT January 2022. This repository contains several notebooks performing detailed analysis of the data, identification of Market Drivers, segmentation of stores, predictions of future sales and design of appropriate promotional strategies to extract the most value upon Beer sales in Spain

The project consists of data obtained from the National Science Foundation’s (NSF) National Ecological Observatory Network (NEON) database. This project obtained data sets of quantified variables that are related to surface water quality, identify suitable predictors and a target response to construct ensemble based models.

Predicting Number of Customers in Different Parts of Helsinki using Deep Learning

📝 Trabalho final da disciplina PSQ 66 do Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento da Universidade Federal do Rio Grande do Sul (UFRGS)

Extension Brave/Chrome browser Web App - DataCrypto Analytics

This project uses machine learning to classify breast cancer tumors as malignant or benign using the Breast Cancer Wisconsin (Diagnostic) Dataset.

This repository contains a machine learning model for predicting the risk of heart attacks based on basic health parameters. The model is trained on a dataset of over 10,000 patients sourced from Kaggle and utilizes the XGBoost algorithm. Additionally, a Flask web application is provided for interactive use, allowing users to input their health.

Boosting base learner simulation in xgboost

HIV Viral Load Prediction | ML

Material baseado na heurística de tunagem do XGboost ensinada pela Curso-R.

Machine Learning Model which predicts whether the provided pairs of questions have a similar meaning or not

Project for the Machine Learning II 2022/23 class at the Faculty of Economic Sciences, University of Warsaw. I was responsible for the housing price prediction task for which I build OLS, random forests, XGBoost and neural networks regression models.