> For the complete documentation index, see [llms.txt](https://book.konstantinsecurity.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://book.konstantinsecurity.com/readme/machine-learning/kaggle-community-datasts-models.md).

# Kaggle Community Datasts Models

## Kaggle: Community Datasts Models

<https://www.kaggle.com/>

Join over 15M+ machine learners to share, stress test, and stay up-to-date on all the latest ML techniques and technologies. Discover a huge repository of community-published models, data & code for your next project.

![](/files/kGC3PGkrmIH35yzkikRP)

Who's on Kaggle?

## **Datasets**

[**View all**](https://www.kaggle.com/datasets)

261K high-quality public datasets. Everything from avocado prices to video game sales.

\*\*[US Accidents (2016 - 2023)\*\* Usability **10.0** · 685 MB A Countrywide Traffic Accident Dataset (2016 - 2023)](https://www.kaggle.com/datasets/sobhanmoosavi/us-accidents)

![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Machine%20Learning/Kaggle%20Community%20Datasts%20Models/dataset-thumbnail.jpg)

\*\*[International football results from 1872 to 2023\*\* Usability **10.0** · 1 MB An up-to-date dataset of over 40,000 international football results](https://www.kaggle.com/datasets/martj42/international-football-results-from-1872-to-2017)

![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Machine%20Learning/Kaggle%20Community%20Datasts%20Models/dataset-thumbnail.jpg)

\*\*[Formula 1 World Championship (1950 - 2023)\*\* Usability **10.0** · 6 MB F1 race data from 1950 to 2023](https://www.kaggle.com/datasets/rohanrao/formula-1-world-championship-1950-2020)

![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Machine%20Learning/Kaggle%20Community%20Datasts%20Models/dataset-thumbnail.jpg)

\*\*[UNCOVER COVID-19 Challenge\*\* Usability 8.8 · 269 MB United Network for COVID Data Exploration and Research](https://www.kaggle.com/datasets/roche-data-science-coalition/uncover)

![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Machine%20Learning/Kaggle%20Community%20Datasts%20Models/dataset-thumbnail.png)

## code**Notebooks**

[**View all**](https://www.kaggle.com/code)

887K public notebooks and access to a powerful notebook environment with no cost GPUs & TPUs.

**Create Series & Pandas DataFrame**

Python

1000 upvotes · 2 comments

**ICR competition analysis and findings**

Python

485 upvotes · 54 comments[ICR - Identifying Age-Related Conditions](https://www.kaggle.com/competitions/icr-identify-age-related-conditions) +1

**Identifying Age-Related Conditions w/ TFDF**

Python

370 upvotes · 91 comments[ICR - Identifying Age-Related Conditions](https://www.kaggle.com/competitions/icr-identify-age-related-conditions)

**Markdown for Colab**

Python

288 upvotes · 3 comments

## tenancy**Models**

[**View all**](https://www.kaggle.com/models)

1,900 pre-trained, ready-to-deploy ML models.

\*\*[Segment Anything\*\* Meta Segment Anything Model (SAM) is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training.](https://www.kaggle.com/models/metaresearch/segment-anything)

![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Machine%20Learning/Kaggle%20Community%20Datasts%20Models/thumbnail-2.png)

\*\*[flan-t5\*\* Google Scaling Instruction-Finetuned Language Models](https://www.kaggle.com/models/google/flan-t5)

![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Machine%20Learning/Kaggle%20Community%20Datasts%20Models/thumbnail.png)

\*\*[toxicity\*\* TensorFlow · Transformer Toxicity classifier trained on civil comments dataset.](https://www.kaggle.com/models/tensorflow/toxicity)

![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Machine%20Learning/Kaggle%20Community%20Datasts%20Models/thumbnail.png)

\*\*[resnet\_v2\*\* Google Imagenet (ILSVRC-2012-CLS) classification with ResNet V2 50.](https://www.kaggle.com/models/google/resnet-v2)

![](https://gitlab.com/johnmkane/tech-recipe-book/-/blob/main/Book/Machine%20Learning/Kaggle%20Community%20Datasts%20Models/thumbnail.png)
