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1. www.kaggle.com › datasets › saurabh00007Iris.csv - Kaggle

   www.kaggle.com › datasets › saurabh00007

   Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

   • Iris Species

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

2. Videos

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     6:26

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     Working With Iris.csv | Iris Data Set In Less Than 10 minutes | Great Learning

     19 Jul 2020

     15.4K views

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     3:52

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     How to Download Kaggle Dataset | How to use Kaggle | Steps to download Kaggle datasets

     11 May 2020

     100.3K views

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     2:16

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     How to Download Kaggle Dataset | How to use Kaggle

     21 Mar 2021

     8.8K views

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

   www.kaggle.com › datasets › uciml

   Classify iris plants into three species in this classic dataset.

4. gist.github.com › Thanatoz-1 › 9e7fdfb8189f0cdf5d73airis_dataset.csv · GitHub

   gist.github.com › Thanatoz-1 › 9e7fdfb8189f0cdf5d73a

   • Cached

   Sep 14, 2024 · Download ZIP. Raw. iris_dataset.csv This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review ...

   Sepal Length (cm)	Sepal Width (cm)	Petal Length (cm)	Petal Width (cm)
   5.1	3.5	1.4	0.2
   4.9	3.0	1.4	0.2
   4.7	3.2	1.3	0.2
   4.6	3.1	1.5	0.2

   See full list on gist.github.com

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

   gist.github.com › curran › a08a1080b88344b0c8a7

   • Cached

   Sep 6, 2024 · import pandas as pd # download iris data and read it into a dataframe url = 'http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data' df = pd. read_csv (url, names = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'class'])

   Sepal_length	Sepal_width	Petal_length	Petal_width
   5.1	3.5	1.4	0.2
   4.9	3.0	1.4	0.2
   4.7	3.2	1.3	0.2
   4.6	3.1	1.5	0.2

   See full list on gist.github.com

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

   www.geeksforgeeks.org › iris-dataset

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   May 15, 2024 · Loading the dataset from CSV: You can download the Iris dataset in CSV format and then import it into your Python environment using libraries like Pandas for data manipulation. How can i import iris dataset in python?

   • Video Duration: 16 min

7. lindevs.com › download-dataset-from-kaggle-usingDownload Dataset from Kaggle using API and Python - Lindevs

   lindevs.com › download-dataset-from-kaggle-using

   • Cached

   Jul 26, 2021 · Learn how to use Kaggle API to download the Iris dataset in CSV and SQLite formats. See the code, parameters and examples for both methods.

8. People also ask

   How to import iris data set in CSV file?

   • The Iris dataset is stored in a CSV file named iris.csv. To import the Iris dataset in R, use the read.csv() function: ?read.csv() We import the iris data by giving the path of the data file, 'iris.csv'.

   Loading Iris Data Set in R - TechnicalJockey

   technicaljockey.com/r-programming-training/loading-iris-data-set-in-r

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   How to use iris dataset in Python?

   • Using Scikit-learn: Scikit-learn allows you to directly load the Iris dataset and use it for your machine learning projects. Loading the dataset from CSV: You can download the Iris dataset in CSV format and then import it into your Python environment using libraries like Pandas for data manipulation.

   Iris Dataset - GeeksforGeeks

   www.geeksforgeeks.org/iris-dataset/

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   What is dataset_download_files in Kaggle API?

   • Each dataset can have various files. For example, uciml/iris dataset is provided in CSV format (Iris.csv) and in SQLite database file format (database.sqlite). Kaggle API client provides the dataset_download_files method which allows to download all files in ZIP format for a dataset.

   Download Dataset from Kaggle using API and Python | Lindevs

   lindevs.com/download-dataset-from-kaggle-using-api-and-python/

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   How to load Iris dataset using sklearn?

   • We can simply access the Iris dataset using the ‘load_iris’ function from the ‘sklearn.datasets’ module. This function allows us to load the Iris dataset and then we call the load_iris () function and store the returned dataset object in the variable named ‘iris’. The object contains the whole dataset including features and target variable. Output:

   Iris Dataset - GeeksforGeeks

   www.geeksforgeeks.org/iris-dataset/

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9. scikit-learn.org › sklearnload_iris — scikit-learn 1.5.2 documentation

   scikit-learn.org › sklearn

   • Cached

   Learn how to load and use the iris dataset, a classic multi-class classification problem, with scikit-learn. The web page provides the parameters, return values, and examples of the load_iris function, but not the csv file download link.