train-test-split

graph-part/graph-part

GraphPart, a data partitioning method for ML on biological sequences

bharatadk/python_splitter

📁 Repo for python_splitter Python package. This package can split Images into Train, Test, Validation folders automatically by shuffling media/images for machine learning.

yu9824/kennard_stone

This is an algorithm for evenly partitioning.

JaanviG/Prediction-using-Decision-Tree-Algorithm

To create a Decision Tree classifier and visualize it graphically, the purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

sanketmaneDS/Logistic_Regression

This repository contains introductory notebook for logistic regression

shohaha/ML-predicting-credit-risk

vaitybharati/P36.-Supervised-ML---Decision-Tree---C5.0-Entropy-Iris-Flower-

Supervised-ML-Decision-Tree-C5.0-Entropy-Iris-Flower-Using Entropy Criteria - Classification Model. Import Libraries and data set, EDA, Apply Label Encoding, Model Building - Building/Training Decision Tree Classifier (C5.0) using Entropy Criteria. Validation and Testing Decision Tree Classifier (C5.0) Model

Ava33343/Soft_or_Hard_Bank

Time series analysis on Yen Futures with ACF, PACF, ADF tests and seasonal decomposition to detect stationary trends. Screen for robust regression models on rolling train-test windows.

Best-Brain-Gang/roboadvisor-diversification

This creates an AWS Chatbot to give users their investment portfolio based on their risk tolerance level i.e. conservative, moderate, or aggressive. With the use of machine learning, the tool will be created to different portfolios based off that.

marmurar/jano

A time slicer for training and testing temporally correlated Machine Learning models.

NeonOstrich/Credit-Risk-Classification-using-Logistic-Regression

Trained and evaluated two supervised machine learning models using original and resampled data to identify 'healthy loan' and 'high risk loan' applicants from financial disclosures.

QuantumMonkey/LP-Diabetes-Prediction

Learning Project ML - Diabetes Prediction

aarryasutar/Linear_Multivariate_Regression_on_Football_Statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

Abhik35/Assignment-SVM-forestfires

classify the Size_Categorie using SVM

adil-imran/Customer-Retention-Deep-Learning

Customer Retention Deep Learning Model

aditijoshi613/Image-Classification

Classification model to categorize clothing items into distinct classes

AhmadSaad310/Electronic-Music-Classification-ML

Electronic Music Classification ML

AhmadSaad310/ML-Drug-Classification

Machine Learning Drug Classification

AloRay/CREDIT-RISK-PREDICTION

Model selection crucial in loan approval prediction project. Random Forest outperformed Logistic Regression, emphasizing importance of choosing appropriate models for accurate predictions.

BradyFisher/Housing-Prices-Machine-Learning-Project

This is a project where I use the Random Forest Regression and XGBoost Machine Learning Techniques to held predict the Sales Price of Houses..

BradyFisher/Machine-Learning-Titanic-Project

This is a project where use the Random Forest Classifier and XGBoost Machine Learning Techniques to held predict what passengers survived the sinking of the Titanic.

chinmayeeguru/Bike-Sharing-Linear-Regression-Model

To model the demand for shared bikes with the available independent variables

elifftosunn/Bert-Bank-Model

It is a Turkish BERT-based model that will analyze people's bank complaints and classify them according to one of eight categories.

emilelampe/maestros

Multi-label stratified splits, while preserving group independence. Includes a stratification chart and report.

iamkirankumaryadav/Algorithms

Machine Learning with Scikit Learn

jagadeeshpj/Predicting-The-Energy-Output-Of-Wind-Turbine-Based-On-Weather-Condition

Predicting The Energy Output Of Wind Turbine Based On Weather Condition DEMO LINK : https://youtu.be/ICfu49Ud2HU

jesussantana/SkLearn-Train-Test

Scientific programming through the SKLearn / Scikitlearn library

jigarpatel108/Machine-Learning-in-Python-365-Data-Science

Repository of all exercises and assignments in 365 Data Science Machine Learning Course

MehmetOKUYAR/Train_Test_Split_txt

You can separate the images in your file as a train test txt file in the yolo format.

MoinDalvs/Model_Validation_Techniques

1. train_test_split 2.K_fold 3.LeaveoneOut 4.Cross Validation Score 5.Logistic Regression

muhammad3245571106/Student-Grade-Prediction

This is the Data Mining Project for predicting the student's grade before the final and Mid-2 examination. I use Python and Jupyter Notebook for this Project.

rishabh1882/Insurance-Prediction-Model

A GitHub repository hosting an insurance prediction model employing Decision Tree, Random Forest, and KNN algorithms, with KNN achieving the highest accuracy score of 87.7% and tested for response on unseen data.

shayleaschreurs/Deep_Neural_Networks

Module 13 - I am creating a binary classification model using a deep neural network by preprocessing data for a neural network model , using the model-fit-predict pattern to compile and evaluate a binary classification model , and optimize the model.

Thakursiddhesh/Regression-Model-to-Predict-Cement-Compressive-Strength

Different modeling techniques like multiple linear regression and random forest, etc. will be used for predicting the cement compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy.

V0xP0p/GroupSplit

GroupSplit is a module to help split datasets into train and test sets for data science and machine learning projects.