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Learn the most important language for data science.
Practical data skills you can apply immediately: that's what you'll learn in these no-cost courses. They're the fastest (and most fun) way to become a data scientist or improve your current skills.
Learn the most important language for data science.
Kaggle Notebooks are a computational environment that enables reproducible and collaborative analysis.
Mar 10, 2017 · Kaggle is a community and site for hosting machine learning competitions. Competitive machine learning can be a great way to develop and practice your skills, as well as demonstrate your capabilities. In this post, you will discover a simple 4-step process to get started and get good at competitive machine learning on Kaggle.
Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs!
Oct 26, 2021 · There is a 5-hour course on Python in Kaggle. It consists of 8 modules covering all basic concepts to work on data science problems. Below is the link to the course,
A "Kaggle Notebook" is a free jupyter notebook server that can be GPU integrated. Just like DataCamp Workspace notebooks, it allows you to perform machine learning operations on cloud computers instead of doing it on your own computer.
Jun 21, 2022 · In this tutorial, you learned what Kaggle is , how we can use Kaggle to get datasets, and even for some free GPU/TPU instances within Kaggle Notebooks. You’ve also seen how we can use Kaggle API’s CLI tool to download datasets for us to use in our local environments.
May 4, 2020 · Let me show you how to interact with the Kaggle page through Python code. This article is — pretty simple but useful. Topics that will be covered: 1. Connect to Kaggle with API. 2.
