k-fold
Here are 69 public repositories matching this topic...
EDA-REGRESSION-CLASSIFICATION-WITH-BALCK-FRIDAY-DATASET
-
Updated
May 28, 2019 - Jupyter Notebook
Easy to apply the crossvalidation on Pytorch
-
Updated
Dec 29, 2020 - Python
-
Updated
Nov 8, 2017 - Python
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.
-
Updated
May 3, 2021 - Jupyter Notebook
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…
-
Updated
May 15, 2020 - HTML
Machine Learning project. Movies Ratings prediction & prediction of White Wine Quality using classification algorithms. The main aim of the project: dive into ML/AI.
-
Updated
Dec 8, 2022 - Python
-
Updated
Apr 23, 2018 - Python
This repository contains analysis code from my graduate school work.
-
Updated
Mar 29, 2024 - R
Kaggle competition (zillow housing challenge)for predicting housing price log errors.Used feature selection, feature engineering, ensemble and stacked models
-
Updated
Nov 23, 2017 - Jupyter Notebook
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.
-
Updated
Sep 7, 2018 - Jupyter Notebook
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
-
Updated
Jan 20, 2023 - Python
Project to produce supervised ML algorithm to predict which customers are likely to leave and produce .Rmd report
-
Updated
Apr 20, 2024 - R
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
-
Updated
Jan 2, 2018 - HTML
Python, K-fold, RMSE, Pearson
-
Updated
Sep 19, 2023 - Jupyter Notebook
Project of Massively Parallel Machine Learning at Technical University of Madrid.
-
Updated
Nov 4, 2019 - Scala
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
-
Updated
Oct 4, 2018 - HTML
-
Updated
Mar 10, 2019 - Jupyter Notebook
My implementation of homework 1 for the Introduction to Machine Learning class in NCTU (course number 1181).
-
Updated
Nov 18, 2017 - Python
Improve this page
Add a description, image, and links to the k-fold topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the k-fold topic, visit your repo's landing page and select "manage topics."