Iris Species

About the Project: -

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. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other.

The columns in this dataset are:

• Id
• SepalLengthCm
• SepalWidthCm
• PetalLengthCm
• PetalWidthCm
• Species

Language used: -

Python3

Note:

Make Tab for indentation (tab = 3 spaces), and afer writing a code use the comment to describe the code # add comment

FrameWorks: -

1. Pandas (version: 1.0.2)
   pip install pandas
2. Numpy (version: 1.18.3)
   pip install numpy
3. sklearn (version: 0.10.0)
   pip install scikit-learn
4. Matplotlib (version: 3.2.0)
   pip install scikit-learn
5. Seaborn(version: 0.10.0)
   pip install seaborn

How to contribute on open-source project:

• Fork this repository.
• Clone the repository.
• Create a branch.
• Make necessary changes and commit those changes.
• Push changes to GitHub.
• Submit your changes for review.
• Refer to Git Resources for git commands.

Made with ❤️ by Nilavya Das