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- Iris Species
Classify iris plants into three species in this classic...
- Iris Species
Classify iris plants into three species in this classic dataset.
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_lengthSepal_widthPetal_lengthPetal_width5.13.51.40.24.93.01.40.24.73.21.30.24.63.11.50.2People also ask
How to import iris data set in CSV file?
What is Iris dataset?
How to use iris dataset in Python?
What is dataset_download_files in Kaggle API?
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)5.13.51.40.24.93.01.40.24.73.21.30.24.63.11.50.2Jul 26, 2021 · Learn how to use Kaggle API and Python to download the Iris dataset in CSV and SQLite formats. See the code, parameters and examples for both methods.
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.
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?