/Iris-flower-classification-with-EDA

This is a very simple model to predict Iris flower species. we have three types of species in it (Versicolor, Verginica, Setosa).

Primary LanguageJupyter Notebook

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