Machine Learning K Nearest Neighbour Part 2

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This video will explain - naive implementation of K nearest neighbor classifier in python with random test data set.
  1. MyStudy
  2. KNN
  3. Machine learning
  4. Python
  5. random data
  6. nearest neighbor
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Комментарии
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your videos are just awesome i searched many ML tutorials on Internet and I found yours to be one of the best!!

ekaanshkhosla
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Thanks for the video. You should edit out the part regarding the bracket error.

MrBigmit
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One doubt why you are using df.ix instead can we use df.iloc to access each element from data frame

santoshkumar-jcje
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Thank you sir for this informative series of videos. I am not able to run this programe in python 3.6. Matplotlib is giving error. Please help.

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

data = np.array([[-1, -1, 'C1'], [-2, -1, 'C1'], [-3, -2, 'C1'], [1, 1, 'C2'], [2, 1, 'C2'], [3, 2, 'C2']])
query=[-2.5, -1.5]

df=pd.DataFrame(data)
df.columns =['x', 'y', 'Cat']
df

for i in range(6):
if(df.ix[i]['Cat'] == 'C1'):
plt.scatter(df.iloc[i]['x'], df.iloc[i]['y'], s=150, c='r') #error line
#working linke below
#print(df.iloc[i]['x'], df.iloc[i]['y'])
else:
plt.scatter(df.iloc[i]['x'], df.iloc[i]['y'], s=150, c='b')
#working line below
#print(df.iloc[i]['x'], df.iloc[i]['y'])

nitinvij