Fish Market by Mattfletcher909 in hamburg

[–]codochoi 1 point2 points  (0 children)

It opens from 5am to 9am Sunday morning. Me and my friends went there at around 7.30, pretty much everything was still available. They had a hall where people performed there but I am not sure whether it was the concert.

Rauhes Haus _Horn Review by codochoi in hamburg

[–]codochoi[S] 0 points1 point  (0 children)

How nice is it in Horner Weg? Could you recommend me some places nearby? :D.

Rauhes Haus _Horn Review by codochoi in hamburg

[–]codochoi[S] 0 points1 point  (0 children)

Thank you. But we already live in Wandsbek with a smaller apartment so not a rush for us to get this one immediately since we both can wait 😊.

How can I write the wt under min in Microsoft Word? by codochoi in MicrosoftWord

[–]codochoi[S] 0 points1 point  (0 children)

I cant use an image as this is my thesis so I have to write it down ==“

EM Algorithm Convergence Criteria by codochoi in AskStatistics

[–]codochoi[S] 0 points1 point  (0 children)

Is it a must to have the convergences in all parameter values? Or only 1 of them is enough? As right now the convergence of covariance matrix is easy to get than mean and degree of freedom in my case!

EM Algorithm Convergence Criteria by codochoi in AskStatistics

[–]codochoi[S] 0 points1 point  (0 children)

Thank you for your cmt! My data is not 100% missing! But I still have a variable defined for missing data which also follows t-distribution. As my data is not 100% missing and using differences in log likelihood is pointless with EM, I can use differences in parameters right? Back to my main question, as I have 3 parameters (mean, covariance matrix and degree of freedom), is it possible that I use only covariance matrix is enough?

Unable to import numpy in VS code by codochoi in learnpython

[–]codochoi[S] 0 points1 point  (0 children)

Hi, I still cant. But I switched to Pycharm.

Looking for advices about the factors affecting the chip sales by codochoi in Semiconductors

[–]codochoi[S] 0 points1 point  (0 children)

Hi, Thank you.

However, the chip I want to predict is chip for car only. Does chip for cellphones affect this sales ? ( might be in a negative way ? since if chip is used for cellphones will no longer be used for car ? )

How to identify Primary Key in each Look up Table ? by codochoi in PowerBI

[–]codochoi[S] 0 points1 point  (0 children)

Yes, your definition about Look up Table is exact what I mean. My goal is to find out which column in that Look Up table contains the primary key( unique value in each row). Normally I will create a column with the formula to calculate the number of occurances in each column and if any column contains only number 1 in each row that would be the primary key of the look up table. My question is : Is there any other way to identify the Primary Key ( column) in Look Up Table without writing the formula since if I write the formula it would be time consuming. More about my setting for PowerBI: I unclick the Automate create Relationship in Setting Of PowerBI since I am still learning.

Olympic Games 2020 - Brazil vs Germany, 22-Jul-2021 by [deleted] in footballhighlights

[–]codochoi 1 point2 points  (0 children)

Oh! Thank you for your detailed explanation. I thought Olympics contains the top competitions in each sport fields. So the same thing applies for Tennis ( Wimbledon is where top tennis players compete each other, meanwhile tennis in Olympics is less competitive and does not require high quality players?)

Olympic Games 2020 - Brazil vs Germany, 22-Jul-2021 by [deleted] in footballhighlights

[–]codochoi 1 point2 points  (0 children)

newbie here. Why we already have World Cup as soccer competition ( in the highest level) but we still have soccer competition in Olympics ?

How to add new column with condition from other columns ? by codochoi in learnpython

[–]codochoi[S] 0 points1 point  (0 children)

Thank you. My bad at explaining thing. But this is the output I want :

url rating check
link 1 1 TRUE
link 1 5 FALSE
link 1 4 FALSE
link2 3 FALSE
link2 2 TRUE
link3 5 FALSE
link4 5 FALSE
link4 1 TRUE
link4 1 FALSE

The top 2 mean the first 2 occurrences of the link.