Aishik rakshit 190122002 w05

Phase 3 - 2020 (Summer)/README.md

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+Aishik Rakshit
+190122002
+CST
+https://github.com/Aishik13012002
+
+
 # IITG.ai
 
 - Resources include course/blog/tutorial/research paper links as well as details regarding graded assignments as well as prospective project ideas.

Phase 3 - 2020 (Summer)/Week 1 (Mar 28 - Apr 4)/assignment/AISHIK RAKSHIT_190122002/Result_w01.txt

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+RESULT
+
+
+
+THE two features that describe the two labels perfectly are feature 3 and 8

Phase 3 - 2020 (Summer)/Week 1 (Mar 28 - Apr 4)/assignment/AISHIK RAKSHIT_190122002/iitg_ml....w01.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Fri Apr  3 14:54:41 2020
+
+@author: LENOVO
+"""
+
+# -*- coding: utf-8 -*-
+"""
+Created on Thu Apr  2 19:13:26 2020
+
+@author: LENOVO
+"""
+
+import numpy as np
+import pandas as pd
+from matplotlib import pyplot as plt
+plt.style.use('ggplot')
+
+
+ds = pd.read_csv(r"C:\Users\LENOVO\Desktop\data.csv", delimiter='\t')
+ds1=ds.loc[ds['Label']==1]
+ds2=ds.loc[ds['Label']==2]
+
+
+plt.rcParams['figure.figsize']=(30,30)
+fig, axes=plt.subplots(10,10)
+
+
+
+
+for i in range(1,11):
+    for j in range(1,11):
+        if(i!=j):
+            x=str(i)
+            y=str(j)
+            ds1=ds.loc[ds['Label']==1].sort_values(by=x)
+            ds2=ds.loc[ds['Label']==2].sort_values(by=x)
+            x_c1=ds1[[x]]
+            y_c1=ds1[[y]]
+            x_c2=ds2[[x]]
+            y_c2=ds2[[y]]
+            axes[i-1][j-1].plot(x_c1,y_c1,'r',label='1')
+            axes[i-1][j-1].plot(x_c2,y_c2,'b',label='2') 
+            axes[i-1][j-1].set_xlabel(x)
+            axes[i-1][j-1].set_ylabel(y)
+
+
+fig.tight_layout(pad=2.0)
+plt.show()