A dataset with 5077 images of numbered signals and a script to create a train-test-split

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

Train a own model using dataset to detect covid-19 positive or negative.

`Spltr` is a simple PyTorch-based data loader and splitter. It may be used to load arrays and matrices or Pandas DataFrames and CSV files containing numerical data with subsequent split it into train, test (validation) subsets in the form of PyTorch DataLoader objects.

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

Machine learning linear regression projects and programs using python libraries, scikit-learn, matplotlib, numpy etc.

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

To create a classification model to predict whether a person makes over $50k a year

To create a classification model to predict the gender (male or female) based on different parameters using given csv file.

import datasets, perform exploratory data analysis, scaling & different models such as linear or logistic regression, decision trees, random forests, K means, support vectors etc.

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

Voting Ensemble & Stock Prediction - Project Submission for Data Mining & Machine Learning Module

This library allows reading and converting bounding box annotations in many popular formats

We have analysis their drug addiction behavior. From this research work we can identify drug addiction behavior also. We have used classification model to classified different types of drug addiction people problem.

This is an algorithm for evenly partitioning.

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