Yahoo India Web Search

Search results

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

   www.kaggle.com › datasets › vikrishnan

   Best dataset for small project.

   • Machine Learning with Iris Dataset

     Explore and run machine learning code with Kaggle Notebooks...

   • Iris Species

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

2. www.kaggle.com › code › jchen2186Machine Learning with Iris Dataset - Kaggle

   www.kaggle.com › code › jchen2186

   Explore and run machine learning code with Kaggle Notebooks | Using data from Iris Species.

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

   www.kaggle.com › datasets › uciml

   Classify iris plants into three species in this classic dataset.

4. Videos

   • 

     6:26

     youtube.com

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

     19 Jul 2020

     15.4K views

   • 

     32:10

     youtube.com

     Iris Dataset Analysis (Classification) | Machine Learning | Python

     16 Jun 2020

     90.8K views

   • 

     16:07

     youtube.com

     Example of Machine Learning Classification technique on Iris Dataset using Logistic Regression

     18 Aug 2021

     30.1K views

   View all

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

   gist.github.com › curran › a08a1080b88344b0c8a7

   • Cached

   Sep 6, 2024 · Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot). Each row of the table represents an iris flower, including its species and dimensions of its botanical parts, sepal and petal, in centimeters.

   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

   • Cached

   May 15, 2024 · Learn about the Iris dataset, a well-known and commonly used dataset for classification and clustering algorithms. Explore its features, applications, historical context, and how to load it in Python.

   • Video Duration: 16 min

7. towardsdatascience.com › exploring-classifiersExploring Classifiers with Python Scikit-learn — Iris Dataset

   towardsdatascience.com › exploring-classifiers

   Jul 13, 2020 · Why are we choosing this dataset? What questions are we trying to answer? What can we find in this dataset? Which classifiers are we building? What can we do next? Dataset. In this blog post, I will explore the Iris dataset from the UCI Machine Learning Repository.

8. People also ask

   What is the iris dataset?

   • Instantly share code, notes, and snippets. This is the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot).

   The Iris Dataset · GitHub

   gist.github.com/curran/a08a1080b88344b0c8a7

   See all results for this question

   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/

   See all results for this question

   Why is the iris dataset important in machine learning?

   • The Iris dataset plays a crucial role in machine learning as a standard benchmark for testing classification algorithms. It is often used to demonstrate the effectiveness of algorithms in solving classification problems. Researchers use it to compare the performance of different algorithms and evaluate their accuracy, precision, and recall.

   Iris Dataset - GeeksforGeeks

   www.geeksforgeeks.org/iris-dataset/

   See all results for this question

   What classification algorithms are used in Iris datasets?

   • Popular algorithms for classification tasks with the Iris dataset include k-nearest neighbors (KNN), decision trees, support vector machines (SVM), logistic regression, and random forests. These algorithms are often used for their simplicity and effectiveness in handling small to medium-sized datasets.

   Iris Dataset - GeeksforGeeks

   www.geeksforgeeks.org/iris-dataset/

   See all results for this question

9. medium.com › @bipin_k › eda-and-ml-analysis-withEDA and ML with Kaggle Iris Datasets - Medium

   medium.com › @bipin_k › eda-and-ml-analysis-with

   • Cached

   Aug 16, 2020 · The Iris dataset is one of the most explained and easy-to-use datasets available for beginners to explore machine learning. We know that… ·