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Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion.
Explore and download thousands of open datasets on Kaggle , the home of data science and machine learning.
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Feb 8, 2024 · How to Download the Kaggle Dataset. For downloading a typical Kaggle dataset, you have to find the dataset on Kaggle first. Let's say I want to download the following dataset from Kaggle: Sample dataset. Check the complete URL of the dataset, which in this case is: https://www.kaggle.com/datasets/mdfahimbinamin/fastsurfer-processed ...
Apr 21, 2021 · 1. Netflix Movies and TV Shows. Who doesn’t like Netflix? This dataset on kaggle has tv shows and movies available on Netflix. One can create a good quality Exploratory Data Analysis project using this dataset.
Mar 10, 2017 · Overview. I recommend a simple 4-step process. The steps are: Pick a platform. Practice on standard datasets. Practice old Kaggle problems. Compete on Kaggle. The process is easy to describe, but difficult to implement. It is going to take time and effort. It is going to be hard work. But…
Mar 8, 2017 · Kaggle is an online community platform for data scientists and machine learning enthusiasts. Kaggle allows users to collaborate with other users, find and publish datasets, use GPU integrated notebooks, and compete with other data scientists to solve data science challenges.
"Kaggle Datasets" allows you to create your own custom datasets, share them with others and easily import them into your notebooks. Additionally, you can add private datasets which would only be visible to you.
Jul 11, 2024 · The primary objective of the dataset is to accurately predict incident triage grades—true positive (TP), benign positive (BP), and false positive (FP)—based on historical customer responses. To support this, we provide a training dataset containing 45 features, labels, and unique identifiers across 1M triage-annotated incidents.
