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Project 2
2. 4. 16. Calcumlation of all the students in the college A and then for specific category diving it. SELECT count(*) from college_a_hs; = 1157 (Percentage : 1157/(1157+724+4003)*100)SELECT count(*) from college_a_se; = 724 (Percentage : 724/(1157+724+4003)*100)SELECT count(*) from college_a_sj;…
Tista Das
updated on 29 Sep 2022
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Read more Projects by Tista Das (18)
Project 1 - Implement and deploy CNN model in real-time using python on Fashion MNIST dataset
done
23 Nov 2023 12:52 PM IST
Project 2
Done
08 Aug 2023 01:49 PM IST
Project 1
Done
04 Aug 2023 03:19 PM IST
Unsupervised Learning - Kmeans Week 11 Challenge
Done
04 Aug 2023 02:57 PM IST
Supervised Learning - Classification Week 9 Challenge
Done
04 Aug 2023 02:05 PM IST
Supervised Learning - Classification Week 8 Challenge
Done
04 Aug 2023 01:58 PM IST
Supervised Learning - Classification Week 7 Challenge
Done
04 Aug 2023 01:52 PM IST
Supervised Learning - Prediction Week 3 Challenge
Done
03 Aug 2023 03:22 PM IST
Basics of ML & AL Week 2 Challenge
Done
03 Aug 2023 03:10 PM IST
Basics of Probability and Statistics Week 1 Challenge
1. Both sample variance and population variance are measures of how spread out a data set is around its mean. The main difference between the two is the data used for calculation. Sample variance is calculated from a subset of the data, while population variance is calculated from the entire data. Sample variance…
22 Jun 2023 01:24 PM IST
Project 2
Done
14 Jun 2023 01:45 PM IST
Project 1
Done
14 Jun 2023 08:26 AM IST
Project 1
1
06 Apr 2023 01:31 PM IST
Project 2
1
04 Apr 2023 01:37 PM IST
Project 1
1. 2.
29 Sep 2022 08:32 AM IST
Project 2
2. 4. 16. Calcumlation of all the students in the college A and then for specific category diving it. SELECT count(*) from college_a_hs; = 1157 (Percentage : 1157/(1157+724+4003)*100)SELECT count(*) from college_a_se; = 724 (Percentage : 724/(1157+724+4003)*100)SELECT count(*) from college_a_sj;…
29 Sep 2022 05:11 AM IST
Project 2 - EDA on Vehicle Insurance Customer Data
#5.correlate = merge_df['age'].corr(merge_df['annualpremiuminRs'])if correlate <-0.5: print('Strong negative relationship')if correlate > 0.5: print('Strong positive relationship')if -0.5 < correlate < 0.5: print('No relationship')
21 Aug 2022 03:54 PM IST
Project 1 - English Dictionary App & Library Book Management System
#List Widgetstree=ttk.Treeview(Right,columns=('Booktitle','Author','Year','ISBN'))Scrollbary=Scrollbar(root)Scrollbarx=Scrollbar(root)Scrollbary.config(command=tree.yview)Scrollbary.pack(side=RIGHT,fill=Y)Scrollbarx.config(command= tree.xview)Scrollbarx.pack(side=BOTTOM,fill=X)tree.heading("Booktitle",text='Booktitle',anchor=W)tree.heading('Author',text='Author',anchor=W)tree.heading('Year',text='Year',anchor=W)tree.heading('ISBN',text='ISBN',anchor=W)tree.column('#1',stretch=80,minwidth=0)tree.column('#2',stretch=120,minwidth=0)tree.column('#3',stretch=80,minwidth=0)tree.column('#4',stretch=150,minwidth=0)tree.pack()
20 Aug 2022 01:49 PM IST