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  1. www.kaggle.com › datasets › vikrishnanIris Dataset - Kaggle

    Best dataset for small project.

  2. www.kaggle.com › datasets › ucimlIris Species - Kaggle

    Refresh. Classify iris plants into three species in this classic dataset.

  3. gist.github.com › curran › a08a1080b88344b0c8a7The Iris Dataset · GitHub

    Oct 5, 2024 · This dataset (Fisher iris data) is included in the free trial offered by Penny Analytics, who run an online outlier detection service. You will need to download their version of the dataset to be sure to get the free pricing. The page is here: https://pennyanalytics.com/free-trial/

  4. www.geeksforgeeks.org › iris-datasetIris Dataset - GeeksforGeeks

    May 15, 2024 · The Iris dataset is one of the most well-known and commonly used datasets in the field of machine learning and statistics. In this article, we will explore the Iris dataset in deep and learn about its uses and applications.

  5. www.kaggle.com › dataFind Open Datasets and Machine Learning Projects | Kaggle

    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.

  6. github.com › anshul014 › 1-Iris-DatasetIris Dataset Analysis and Visualization - GitHub

    The Iris dataset consists of 150 samples from each of three species of Iris flowers (Iris setosa, Iris virginica, and Iris versicolor). Four features were measured from each sample: the lengths and the widths of the sepals and petals.

  7. github.com › venky14 › Machine-Learning-with-Iris-DatasetData Visualization and Machine Learning with Iris Dataset.

    The Iris dataset is a classic dataset for classification, machine learning, and data visualization. The dataset contains: 3 classes (different Iris species) with 50 samples each, and then four numeric properties about those classes: Sepal Length, Sepal Width, Petal Length, and Petal Width.

  8. huggingface.co › datasets › scikit-learnscikit-learn/iris · Datasets at Hugging Face

    Iris Species Dataset. The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository. It includes three iris species with 50 samples each as well as some properties about each flower.

  9. medium.com › @parulrajput27 › starters-manual-decoding-the-iris-dataset-withStarter’s Manual: Decoding the Iris Dataset with Python

    Jun 5, 2024 · Today, we’re diving into the famous Iris dataset and learning how to build a classification model to identify the features of iris flowers. This guide is packed with detailed explanations ...

  10. github.com › geetharamson › Fisher-s-Iris-DatasetGitHub - geetharamson/Fisher-s-Iris-Dataset

    The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper. The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor).