Awesome Open Source

Programming Languages

Search results for machine learning cross validation

cross-validation x

machine-learning x

59 search results found

A high-level machine learning and deep learning library for the PHP language.

Sharplearning ⭐ 372

Machine learning for C# .Net

Time Series Cross-Validation -- an extension for scikit-learn

Automl_alex ⭐ 171

State-of-the art Automated Machine Learning python library for Tabular Data

Neuropredict ⭐ 99

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

Network Intrusion Detection ⭐ 85

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

🦅Hyperparameter optimization for machine learning pipelines 🦅

Sklearndf ⭐ 59

DataFrame support for scikit-learn.

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Subsemble ⭐ 39

subsemble R package for ensemble learning on subsets of data

One Stop For Covid 19 Infection And Lung Segmentation Plus Classification ⭐ 38

✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation

Datatap Python ⭐ 37

Focus on Algorithm Design, Not on Data Wrangling

Confounds ⭐ 35

Conquering confounds and covariates in machine learning

Cifar 10 ⭐ 32

Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

Offline Handwriting Recognition With Tensorflow ⭐ 30

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Machine Learning Toolkits With Python ⭐ 26

Machine learning toolkits with Python

🎲 🔮 Comprehensive Cross-Validation Engine

The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.

Stratified K Fold Cross Validation Image Classification Keras ⭐ 23

This python program demonstrates image classification with stratified k-fold cross validation technique.

Computationally efficient confidence intervals for cross-validated AUC estimates in R

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

Introduction To Machine Learning ⭐ 17

A document covering machine learning basics. 🤖📊

Sperrorest ⭐ 17

Spatial error estimation and variable importance

Campaign Critic ⭐ 16

A web app that helps Kickstarter creators increase their chances of being funded

Assignpop ⭐ 15

Population Assignment using Genetic, Non-genetic or Integrated Data in a Machine-learning Framework. Methods in Ecology and Evolution. 2018;9:439–446.

Predicting Baseball Statistics ⭐ 14

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

Torch Handle ⭐ 13

TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable

Twitter Sentiment Analysis ⭐ 12

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

An experiment control system for reproducible research

Numerics ⭐ 12

library of numerical methods using Armadillo

Octopus Ml ⭐ 12

A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.

Twitter Sentiment Analysis Nlp Hackathon ⭐ 12

Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.

Sentimentanalysis Python Demo ⭐ 10

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

Sharplearning.examples ⭐ 10

Code examples for SharpLearning

Confound_prediction ⭐ 10

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

Study 09 Machinelearning A ⭐ 10

With some projects to develop "TOOLs" for better Modeling

Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

Splittools ⭐ 10

Light weight R package to do fast data splitting for cross-validation or train/valid/test splits

Param Opt ⭐ 9

本项目开发了一个机器学习和深度学习的训练工具。该训练工具基于sklearn和pytorch，不仅支持

In Depth Ml ⭐ 9

In depth machine learning resources

Applied Deep Learning With Keras ⭐ 9

Solve complex real-life problems with the simplicity of Keras

Classification_churn_with_parsnip ⭐ 8

Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem

Online Shoppers Purchasing Intention ⭐ 8

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

Big Mart Sales Prediction ⭐ 7

Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

Simple Linear Regression ⭐ 7

A python implementation of linear regression algorithm. (including Maximum Likelihood, Maximum a posterior, Bayesian)

Capstoneproject_house_prices_prediction ⭐ 7

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysi

Spatial Kfold ⭐ 7

spatial resampling for more robust cross validation in spatial studies

Multiplekernel Leastsquares Supportvectormachine ⭐ 6

Multiple Kernel Least Squares Suport Vector Machine provide classification model.

Time Series Quick Simulator - able to perform time series analysis and to setup validation experiments.

Machinelearningelasticcomponent ⭐ 6

this project aims to be an easy and reusable way to use supervised machine learning techniques

Interpretablesdmwithjulia ⭐ 6

Slides for the "Interpretable SDM with Julia" workshop

Car Price Prediction Highly Comprehensive Linear Regression Project ⭐ 6

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.

Clj Ml Model ⭐ 5

Interface for Machine Learning Modeling

Titanic Passenger Survival Prediction ⭐ 5

Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.

Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.

Wb_gdp_predict ⭐ 5

Predicting next year's GDP using ML (Python)

Related Searches

Python Machine Learning (17,258)

Jupyter Notebook Machine Learning (12,247)

Machine Learning Neural Network (4,397)

Machine Learning Tensorflow (4,050)

Machine Learning Natural Language Processing (3,891)

Machine Learning Artificial Intelligence (3,877)

Machine Learning Data Science (3,802)

Machine Learning Pytorch (2,910)

Machine Learning Dataset (2,298)

Machine Learning Classification (2,091)

1-59 of 59 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.