train-test-split
There are 139 repositories under train-test-split topic.
graph-part/graph-part
GraphPart, a data partitioning method for ML on biological sequences
ODAncona/bboxconverter
This library allows reading and converting bounding box annotations in many popular formats
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
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.