Find answers to your questions about Data Science or help others by answering their Data Science questions.
In the context of multi-regression, I am wondering if there is a way to decompose $$VIF_i = 1/(1-R_i^2)$$ where $R_i^2$ is the r squared obtained from the regression of dependent...
Asked on 12/17/2020 by Jun Jang
1 answerI am trying to find possible relationships between a large sensor network (around 100 sensors) where data is recorded in daily intervals. Each sensor has multiple readings simultaneously (Value_X). Each...
Asked on 12/17/2020 by Prabath
0 answerI have population data from Census.gov: Total US population by age by year from 1940 through 2010 Depending on the range of decades, the data is missing discrete population values...
Asked on 12/17/2020 by Threadid
1 answerI have dataset 1 (stayers) consisting of 1500 record of HR data demographic data of employees (11 features) who currently are in the company. Dataset 2 (leavers) contains 180 records...
Asked on 12/16/2020 by Nimrod Ets
0 answerI am trying to find a way to calculate all possible combinations of a sequence that have a certain length of long run. When answering questions regarding sequences of heads...
Asked on 12/16/2020 by A.May
1 answerI am currently working on a dataset which contains a name attribute, which stands for a person's first name. After reading the csv file with read.csv, the variable is a...
Asked on 12/16/2020 by lupi5
2 answerI have a dataset of survey responses with 10 variables. 4 of them were optional questions during the survey. Now for ~900 participants, I have missing values for the 4...
Asked on 12/16/2020 by Jishan
0 answerFrom Keras RNN Tutorial: "RNNs are tricky. Choice of batch size is important, choice of loss and optimizer is critical, etc. Some configurations won't converge." So this is more a...
Asked on 12/16/2020 by wacax
4 answerI have some products, along with their description. I wish to assign USPSC code to each product. I have a really basic doubt here. What exactly is my test file...
Asked on 12/16/2020 by huy
1 answerWhile approximating gradients, using actual epsilon to shift the weights results in wildly big gradient approximations, as the "width" of the used approximation triangle is disporportionately small. In ...
Asked on 12/16/2020 by David Tóth
0 answerGet help from others!
Recent Answers
Recent Questions
© 2024 TransWikia.com. All rights reserved. Sites we Love: PCI Database, UKBizDB, Menu Kuliner, Sharing RPP