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متخصصین داده - مطالب علم داده و نرمافزارها و آموزشهای این حوزه Admin : @javad_vahdat Web: www.dataexperts.ir YouTube: https://www.youtube.com/@dataexperts
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Create Empty Data frame
> data.frame() > setNames() > character() > numeric() > factor() > matrix()➖➖➖➖➖➖➖➖➖➖➖ 🔰 @Data_Experts 🌐 dataexperts.ir 📱DataExperts Instagram ➖➖➖➖➖➖➖➖➖➖➖
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How to Combine Data Frames by Row
> install.packages("plyr")
> rbind()
> rbind.fill()
> head() ; tail()
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Rename a Column Name in R
> colnames()➖➖➖➖➖➖➖➖➖➖➖ 🔰 @Data_Experts 🌐 dataexperts.ir 📱DataExperts Instagram ➖➖➖➖➖➖➖➖➖➖➖
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Complete Cases Function
> data.frame() > complete.cases()➖➖➖➖➖➖➖➖➖➖➖ 🔰 @Data_Experts 🌐 dataexperts.ir 📱DataExperts Instagram ➖➖➖➖➖➖➖➖➖➖➖
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Named Numeric Vector Function
> unname() > as.numeric()➖➖➖➖➖➖➖➖➖➖➖ 🔰 @Data_Experts 🌐 dataexperts.ir 📱DataExperts Instagram ➖➖➖➖➖➖➖➖➖➖➖
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Dimension Function
> dim() > dimname()➖➖➖➖➖➖➖➖➖➖➖ 🔰 @Data_Experts 🌐 dataexperts.ir 📱DataExperts Instagram ➖➖➖➖➖➖➖➖➖➖➖
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Replace NA with 0
> is.na() > which()➖➖➖➖➖➖➖➖➖➖➖ 🔰 @Data_Experts 🌐 dataexperts.ir 📱DataExperts Instagram ➖➖➖➖➖➖➖➖➖➖➖
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This tutorial shows how to apply the max and min functions in R
The example R code of this video can be found below:
# Example 1
x1 <- c(4, 1, - 50, 20, 8) # Create example vector
max(x1) # Apply max to vector
min(x1) # Apply min to vector
# Example 2
x2 <- c(x1, NA) # Create example vector with NA
max(x2) # max returns NA
max(x2, na.rm = TRUE) # Specify na.rm = TRUE
min(x2, na.rm = TRUE) # Specify na.rm = TRUE
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1 526
This tutorial explains how to apply the length function in the R programming language.
R Code of this video:
x <- c(8, 17, 23, 93, - 20, 15, 13, 55, 29, - 84) # Example vector in R
length(x) # Apply length function
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1 526
This tutorial explains how to apply the length function in the R programming language.
R Code of this video:
x <- c(8, 17, 23, 93, - 20, 15, 13, 55, 29, - 84) # Example vector in R
length(x) # Apply length function
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rbind rbind.fill in R
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colnames function in R
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> unname()
> as.numeric()
Remove fill name of an vector in R
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Dr Sasan Barak is an Assistant Professor in Business Analytics within Southampton Business School at the University of Southampton.
He has awarded a PhD in management science/ forecasting from Lancaster University , UK as well as a double degree PhD in Finance from VSB, Czech Republic and UniBg, Italy.
Sasan's main area of research revolves around forecasting model selection and implementation of statistical and machine learning algorithms in business and finance. Recently he has been working on Meta-learning and Deep Learning for forecasting model selection..
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🔼 Forecasting in business and finance :From Statistical Learning to Machine Learning.
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📣 Time: Jun 19, 2020 06:30 PM London
Join Zoom Meeting.
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https://us02web.zoom.us/j/86730077434
Meeting ID: 867 3007 7434 ..
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👁🗨 ۵ دلیل برای یادگیری علم داده(داده کاوی)
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