Skip to content
#

testing-data

Here are 16 public repositories matching this topic...

Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;

  • Updated Oct 24, 2023
  • Jupyter Notebook

Selenium is the first thing that comes to mind when one is planning to automate the testing of web applications. Selenium Webdriver with Java, one needs to bring the different components together, to start coding.

  • Updated Jun 29, 2022
  • HTML

The Bike Sharing Company wants to understand the independent variables on their past data to analyze and create a machine learning model to understand the demand of the bike and accordingly plan a business strategy.

  • Updated Jan 28, 2023
  • Jupyter Notebook

Machine Learning Practice and Exercises Welcome to our repository dedicated to the practice and mastery of machine learning (ML) concepts and techniques. This repository serves as a comprehensive resource for learners and enthusiasts looking to enhance their ML skills through hands-on exercises and practical applications.

  • Updated Apr 9, 2024
  • Python

Improve this page

Add a description, image, and links to the testing-data topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the testing-data topic, visit your repo's landing page and select "manage topics."

Learn more