Iris Flower Classification

Blog link: https://medium.com/analytics-vidhya/exploratory-data-analysis-iris-flower-dataset-a21c368a1f4

About Dataset

• In this dataset we have 3 species of flower of iris family
• Data have 4 dimentions
  1. Sepat length
  2. Sepal width
  3. Petal length
  4. Petal length
• Total number of points are 150 50 for each species

In this project i have done Exploratory data analysis in detail.

Algorithms used

• Stochastic Gradient Descent (SGD) classifier basically implements a plain SGD learning routine supporting various loss functions and penalties for classification. Scikit-learn provides SGDClassifier module to implement SGD classification(Source Scikit-learn).

Programming language used is Python

Framework used Flask for Api

Libraries used:

• Scikit-learn
• Pandas
• Matplotlib
• Seaborn
• Numpy
• Joblib