Welcome to my very first YouTube video!
In this beginner-friendly tutorial, we’ll build a simple yet powerful machine learning model to classify Iris flower species using Python and the Random Forest algorithm.
We’ll walk through:
What the Iris dataset is
How to visualize the data
How to train a machine learning model
How to evaluate it
And even make predictions on custom inputs!
This is a great project if you're just getting started with data science or machine learning.
🔗 Download Iris Dataset:
https://raw.githubusercontent.com/uiuc-cse...
code : -
https://colab.research.google.com/drive/1E...
🧰 Tools and Libraries Used:
Python
Pandas
NumPy
Seaborn
Matplotlib
Scikit-learn
#MachineLearning #PythonProject #IrisDataset #DataScience #MLTutorial #PythonForBeginners #RandomForest #ScikitLearn #PythonMachineLearning #AIProject
On this page of the site you can watch the video online Iris Flower Classification with Machine learning | Beginner Python (step-by-step Tutorial) with a duration of hours minute second in good quality, which was uploaded by the user DevArk 26 May 2025, share the link with friends and acquaintances, this video has already been watched 887 times on youtube and it was liked by 16 viewers. Enjoy your viewing!