/Data_Visualization_With_Python

Data visualization using Python library Pandas, Matplotlib and Seaborn .(Exploratory Data Analysis)

Primary LanguageJupyter Notebook

Data_Visualization_With_Python

Overview

Visualization of Iris datset using Python library Pandas, Matplotlib and Seaborn .

The iris data set is most widely used beginner's dataset for machine learning purposes.

Data set Attribute:

  1. sepal length in cm
  2. sepal width in cm
  3. petal length in cm
  4. petal width in cm
  5. Species (class):
    -- Iris Setosa
    -- Iris Versicolour
    -- Iris Virginica

The dataset contains 150 samples also having four features:length and width of sepals and petals and 50 samples of these three species.

The dataset is often used in data mining, classification and clustering examples and to test algorithms.

By Visualizing the dataset what we find

The dataset contain two clusters with complete sepration:
1.Iris setosa
2.Iris virginica ,Iris versicolor

Machile leraning algorithm :
1.Classifiction -supervised learning
2.K means clustering -unsupervised learning ca be used to predict the type of species based on other features.