K means clustering project using python

Hello python programmers, This is AK. In this video we’re going to see about one of the most popular and important algorithms in machine learning that is named as kmeans clustering.

STEP1: Installing Dependencies

* pip install pandas

* pip install matplotlib

* pip install scikit-learn

STEP2: Importing the libraries

from pandas import pandas as pd

from pandas import DataFrame

import matplotlib.pyplot as plt

from sklearn.cluster import KMeans

STEP3: Read the CSV

data=pd.read_csv('Sample scores.csv') data

Dataset link: http://bitly.ws/dIvR

STEP4: Plot the data

plt.scatter(data['Overs'],data['Scores'])

plt.xlabel('x')

plt.ylabel('y')

plt.show()

STEP5: Create dataframe

df=DataFrame(data,columns=['Scores','Overs']) df

STEP6: Create Clusters

kmeans=KMeans(n_clusters=3).fit(df)

STEP7: Place the centroid points

centroids=kmeans.cluster_centers_ print(centroids)

STEP8: Plot the data points

plt.scatter(df['Overs'],df['Scores'],c=kmeans.labels_.astype(float),s=50,alpha=1) plt.scatter(centroids[:,0],centroids[:,1],c='red',s=50) plt.xlabel('Overs') plt.ylabel('Scores') plt.show()

Github repository : https://github.com/akpythonyt/ML-algorithms

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