/kaggle_courses

This repository contains all the courses that I have followed on Kaggle.

Primary LanguageJupyter Notebook

Kaggle Courses

This repository contains all the courses that I have followed on Kaggle.

Introduction

Kaggle offers a variety of courses to help you gain the skills you need to do independent data science projects. These courses focus on key practical components, allowing you to gain usable skills in a few hours. All courses are provided at no cost, and you can earn certificates upon completion. Learn more on Kaggle Learn.

Completed Courses

  • Folder: Intro to Machine Learning
  • Description: This course covers the basics of machine learning, providing a foundation in topics such as model building, validation, and data preprocessing.
  • Folder: Computer Vision
  • Description: This course introduces the key concepts and techniques in computer vision, including image classification, object detection, and image segmentation.

Exercise Files

The relevant exercise files for the completed courses are organized within their respective folders:

  • Intro to Machine Learning: Contains all exercise files and notebooks related to the Intro to Machine Learning course.
  • Computer Vision: Contains all exercise files and notebooks related to the Computer Vision course.

References

For more information and to access the source courses, visit Kaggle Learn.