7 min
Machine learning for Iris flower plant Kamal's Monologue Forum
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- Careers
This episode is also available as a blog post: http://kamalsri.fashion.blog/2021/07/22/machine-learning-for-iris-flower-plant/
Iris is a genus of 260–300 species of flowering plants with showy flowers. It takes its name from the Greek word for a rainbow, which is also the name for the Greek goddess of the rainbow, Iris. Some authors state that the name refers to the wide variety of flower colour's found among the many species. As well as being the scientific name, iris is also widely used as a common name for all Iris species, as well as some belonging to other closely related genera. A common name for some species is 'flags', while the plants of the subgenus . Scorpiris are widely known as 'junos', particularly in horticulture. It is a popular garden flower.
Iris flower classification project using machine learning
Libraries used in this project : Numpy , Pandas , Matplotlib , Sciket-learn(sklearn).
Methods used : Data Cleaning , Data Preprocessing , Logistic Regression , Outlier Detection , Exploratory Data Analysis (EDA), Data Visualization , Data Modelling , Confusion matrix and classification report.
Technologies and tools used : Machine Learning , Google Colaboratory.
Accuracy achieved : 95.64 %
Project completed on : July 21st 2021
This episode is also available as a blog post: http://kamalsri.fashion.blog/2021/07/22/machine-learning-for-iris-flower-plant/
Iris is a genus of 260–300 species of flowering plants with showy flowers. It takes its name from the Greek word for a rainbow, which is also the name for the Greek goddess of the rainbow, Iris. Some authors state that the name refers to the wide variety of flower colour's found among the many species. As well as being the scientific name, iris is also widely used as a common name for all Iris species, as well as some belonging to other closely related genera. A common name for some species is 'flags', while the plants of the subgenus . Scorpiris are widely known as 'junos', particularly in horticulture. It is a popular garden flower.
Iris flower classification project using machine learning
Libraries used in this project : Numpy , Pandas , Matplotlib , Sciket-learn(sklearn).
Methods used : Data Cleaning , Data Preprocessing , Logistic Regression , Outlier Detection , Exploratory Data Analysis (EDA), Data Visualization , Data Modelling , Confusion matrix and classification report.
Technologies and tools used : Machine Learning , Google Colaboratory.
Accuracy achieved : 95.64 %
Project completed on : July 21st 2021
7 min