Iris-project-via-ML

This is Iris Flower Species Project thorugh application of Machine learning with python programming.

This Project was made by me in IIT, Patna during my Summer Internship.

Abstract

Machine Learning is a field of computer science pro-vides the ability to learn without programming and the program explicitly. Supervised Machine Learning (SML) is the search for algorithms that reason from externally supplied instances to produce general hy-potheses, which then make predictions about future in-stances. Classification and Regression is a supervised learning in which the response is categorical that is its values are in finite Discrete and continuous set. To sim-ply the problem of classification, scikit learn tools has been used. This paper focuses on IRIS flower classifica-tion using Machine Learning with scikit tools. In this paper we will train the machine learning model with the given Iris Dataset and Analysis the performance and accuracy of Iris with Supervised Learning Algo-rithms.

Here some of algorithm are used that are some types of machine learning subparts algorithms of supervised and Unsupervised learning.

Algorithm used for predicting and get accuracy are -

1. Dicision tree classifier
2. K nearest classifier
3. SVM
4. Logistic Regression
5. metrics
6. train_test_split We are making accuracy and prediction in Iris project through Iris Dataset. This is easy and understable for machine learning staters( Naive ) My Codes, thinking, analytics and logic for making this prediction is unmatchable and best !!

I have written a Research papers on "Performance Evaluation of Supervised Learning for Iris Flower Species" ( http://ijirt.org/Article?manuscript=147862 )

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Hi there 👋

You Can use this Beautiful Project for your college Project and get good marks too.

Email me Now vatshayan007@gmail.com to get this Full Project Code, PPT, Report, Synopsis, Video Presentation and Research paper of this Project.

💌 Feel free to contact me for any kind of help on projects related to Machine Learning, Data Science, Cryptography, DIP, Web technologies and Cloud.

HOW TO RUN THE PROJECT-

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INTERNSHIP

🌟 Internship oppurtunity for everyone - https://github.com/Vatshayan/INTERNSHIP

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Happy to Help you😄😅