The repository for standard machine learning model developments and related tasks

Simple & basic practice of machine learning problems

data science: da busca de dados ao deploy (regressão)

In this project I used different regression algorithms to do regression to predict financial risk. I used Kaggles free GPUs and Machinehack Datasets in this project.

Building classification models to predict passenger satisfaction

Heart disease is a major global health concern that affects millions of people around the world. Early detection and accurate prediction of heart disease can help to prevent the progression of the disease and save lives. In this project, we aim to develop a predictive model for heart disease using various machine learning algorithms.

This repository contains solution for the 2022 Women in Data Science Kaggle competition that I participated in, which obtained a top 10% leaderboard standing.

NYC Taxi Fare Prediction with XGBoost and LightGBM.

We build a model to predict the value of used cars, while also considering speed and quality of the prediction.

In this project, I implemented genetic algorithm (GA) from scratch using python to select the most impactful features in a dataset.

Regression model package predicting the energy above hull of perovskite oxides.

Predict Insurance Claims

This project aims to predict the Taxi-trip duration within NYC based on several factors as predictors. Various combinations of relevant features are explored as iterations. After analysing the dataset, important and necessary features are selected. Several regression models are implemented & evaluated based on R2 & RMSE, & predictions visualised

(projeto ainda não finalizado) - Este repositório contém um projeto de uma seguradora deseja começar a vender seguro de veículos para clientes que já possuem plano de saúde.

LightGBM Inference on Datafusion

https://www.kaggle.com/rajat94

名前の文字の並びから性別を予想し、AUCを手動で計算してみましょう