Easy to apply the crossvalidation on Pytorch

Solving classification problem by XGBoost model implementation; K-folds Cross Validation application for relevant performance metrics accessing.

EDA-REGRESSION-CLASSIFICATION-WITH-BALCK-FRIDAY-DATASET

This project is about how you can deal with imbalanced data and which performance metrics' particularly important compared to usual practices with fairly balanced data.

This repository contains analysis code from my graduate school work.

In this program, you’ll master valuable machine learning skills that are in demand across countless industries. Investment levels in this space continue to rise, thousands of highly-valued startups have entered the field, and demand for machine learning talent shows no signs of leveling. Program graduates emerge uniquely prepared to excel in mac…

Machine Learning project. Movies Ratings prediction & prediction of White Wine Quality using classification algorithms. The main aim of the project: dive into ML/AI.

My implementation of homework 1 for the Introduction to Machine Learning class in NCTU (course number 1181).

SKlearn K-fold implementation example

REGRESSION-From-Scratch-With-SALES-PREDICTION

This is the 2nd project of T5 bootcamp. ML is used to predict box office gross with IMDb data. The data was scraped from the IMDb website. Regression. model was performed to predict gross.

Implementação em java do algoritmo KNN para classificação, combinado ao k-fold para validação cruzada.

Prepare a model for glass classification using KNN and Implement a KNN model to classify the animals in to categorie.

Kaggle competition (zillow housing challenge)for predicting housing price log errors.Used feature selection, feature engineering, ensemble and stacked models

in this repository, there are my kaggle project on loan application prediction in python and python code on linear regression, random forest, k-means, svm, and some easy but happy code to make python coding skill more better.

Códigos em Phyton utilizados na disciplina de engenharia médica, do curso de Engenharia Biomédica do Instituto de Ciência e Tecnologia - Universidade Federal de São Paulo

Project to produce supervised ML algorithm to predict which customers are likely to leave and produce .Rmd report