crossvalidation | Topic | Ecosyste.ms: Repos

Topic: "crossvalidation"

erdogant/hgboost

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.

Language: Python - Size: 24.4 MB - Last synced at: 13 days ago - Pushed at: about 2 months ago - Stars: 64 - Forks: 18

gulabpatel/Machine-Learning

Regression, Classification, Clustering, Dimension-reduction, Anomaly detection

Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 2

ashioyajotham/Daily-ML

My daily ML practices

Language: Jupyter Notebook - Size: 997 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 4 - Forks: 2

govardhan26/Parkinsons-Disease-Prediction

As an early diagnosis step machine learning classifiaction algorithms could be used in finding if the patient is prone to parkinsons disease.

Language: Jupyter Notebook - Size: 266 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

Muhammad-Sheraz-ds/Predicting-Insurance-Claim

In this comprehensive machine learning project, I executed the entire machine learning life cycle. Designed a streamlined and visually appealing interface using Streamlit. Ensuring a user-friendly experience for individuals to input their relevant information effortlessly. Handed off well-documented and easily modifiable code.

Language: Jupyter Notebook - Size: 74.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

igorvgp/DS_rossmann_stores

Using Machine Learning to predict Rossmann stores sales

Language: Jupyter Notebook - Size: 32.7 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

wbuchanan/crossvalidate

Stata package to implement cross-validation methods for statistical models

Language: Stata - Size: 643 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1

santi-souza/stroke-eda-ml

Stroke: Statistical analysis of risk factors and creation of predictive models using machine learning

Language: R - Size: 1020 KB - Last synced at: 19 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

0xkerem/AutoCV

An automated cross-validation framework for machine learning models, offering streamlined and efficient model evaluation.

Language: Python - Size: 72.3 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

SkullkyAI/ML-CLASIFICACION-TITANIC-KAGGLE

Práctica de clasificación con Machine Learning en el dataset del Titanic, abordando exploración de datos, preprocesamiento, selección de métricas y modelos, con el objetivo de analizar detalladamente los resultados obtenidos.

Language: Jupyter Notebook - Size: 7.97 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

elliothha/BCI-Signal-Decoder

A linear, two-class support vector machine model that decodes directional intention signals as either “left” or “right” given datasets of electrode channel weights taken from a brain-computer interface

Language: Python - Size: 2.03 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

TelRich/GOT_Character_Death_Prediction

This is a Premiere Project done by Team Gitlab in Hamoye Data Science Program Dec'22. Out of 5 models used on the data, Random Forest Classifier was used to further improve the prediction of characters death. With parameter tuning and few cross validation, we were able to reduce the base error by 5.42% and increase accuracy by 2,42%.

Language: Jupyter Notebook - Size: 6.68 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

NancyArmah/Cancer_Classification

Group Project for Primo Academy

Language: Jupyter Notebook - Size: 9.46 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 3

SilasPenda/Telecom-Customer-Churn-Prediction

This is a supervised machine learning project using telecom customer data to predict customers that would churn based on customer Age Group, Relationship Status, Subscribed Services, Charges, and Financial Responsibilities, etc.

Language: Jupyter Notebook - Size: 271 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

abhijha3011/Techniques-To-Handle-Imbalanced-Data

Different Techniques to Handle Imbalanced Data Set

Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

govardhan26/Heart-disease-blog

This is a blog of how machine learning algorithms are used to detect if a person is prone to heart disease or not.

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

jaydenth/Churn-Prediction

This is a School assignment, on churn prediction using scikit learn and traditional ML models

Size: 1000 Bytes - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

MarwaBrian/football_matches

Linear Regression Project to predict the total goals to be scored in a match

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

UMASIVAKUMAR14/F1ImageRecognition

Predicts the F1 driver given in an image of their face.

Language: Jupyter Notebook - Size: 150 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

DominikHommer/MachineLearning

Discover the power of Machine Learning through practical projects in our dynamic repository. Dive into linear models, classification techniques, and more, with projects ranging from spam detection to fruit classification. Perfect for learners at all levels, our repository grows with new insights and applications. Stay tuned for continuous updates!

Language: Jupyter Notebook - Size: 6.33 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

vicaaa12/Deep-Neural-Networks

Neural Network

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

elkronos/forecast_py

Forecasting pipeline for python

Language: Python - Size: 16.6 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Marksman007577/Machine-Learning-and-Data-Science

Machine Learning and Data Science with Python

Language: Jupyter Notebook - Size: 250 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

cdo7456/DataIntelligenceProjects

This is a collection of personal datasets I analysed from Kaggle using a myriad of technical skills including Python, Scikit-Learn, Sklearn Pre-Processing, matplotlib, SciPy, ML, Statistical Inference, and Mathematics.

Language: Jupyter Notebook - Size: 1.57 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jodiambra/Breast-Cancer-Predictions

Web application that can be used to predict breast cancer, based on cell features. Model classifies result as benign or malignant.

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

jodiambra/Tinder-Relationship-Predictions-Website

Exploratory data analysis and predictive modeling using Tinder matching data. Model predicts whether you would find a relationship or not. The EDA was showcased with a web application, in collaboration with software engineer students. This project was part of Practicum Code Pudding 2.0 competition.

Language: HTML - Size: 14.5 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

adiag321/Boston-AMES-Housing-Price-Prediction

In this project, we will predict the price for AMES House and learn Machine Learning Algorithms, different data preprocessing techniques such as Exploratory Data Analysis, Feature Engineering, Feature Selection, Feature Scaling and finally to build a machine learning model.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

dotorimuk1112/ML_self_taught

What I taught myself about Machine learning

Language: Jupyter Notebook - Size: 5.5 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

faketano/Determining-critical-components-for-development

Use of Supervised and Unsupervised Learning Techniques to determine critical components for development of countries

Language: R - Size: 28.3 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

zeeshanmulla/Machine-Learning-Algorithms

ML Algorithms notebook with dataset. Will keep on Updating this Repo.

Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

alyssonvidal/Credit-Card-Limit-Classification

The project is a challenge for the DS community, where students divided into groups should develop a machine learning model capable of predicting whether the customer, according to their history, could have their request for an increase in the credit limit granted or denied.

Language: Jupyter Notebook - Size: 193 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0