Cross Validated Meta your communities . If we go through the meta-questions of individual sites, we can also find . Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. more stack exchange communities . 400 years (erm, days, actually): why I will put CV on my cv; Answering narrowly or more broadly: some evidence from green checks and upvotes; machine learning - Steps for balancing data using SMOTE ... Full text of questions and answers from Cross Validated, the statistics and machine learning Q&A site from the Stack Exchange network. variance of error term(econometrics) - Economics Stack ... Unanswered Questions - Stack Exchange Newest 'cross-validation' Questions - Data Science Stack ... As for creating a site specifically for MATLAB questions on the Stack Exchange network, I feel that it would not attract enough visitors, as MATLAB is only one programming language, and it is already accessible via other sites on the Stack Exchange network. Cross-validation arises frequently in the context of assessing how a particular model fit predicts future observations. $\endgroup$ Our data is a CSV file describing questions on the Cross Validated Stack Exchange, a Q&A site for statistics. k nn - need for cross-validation in KNN - Data Science ... . Cross Validated Questions from Cross Validated Stack Exchange - Kaggle CrossValidated « Stack Exchange Stats Blog 400 years (erm, days, actually): why I will put CV on my cv; Answering narrowly or more broadly: some evidence from green checks and upvotes; 0. Data Exploration - DagsHub Docs machine learning - Feature selection and hyperparameter ... I haven't used Super User or Cross-Validated, but @Gerry has covered those. This kind of prediction can be useful if we want to recommend to a user to add the machine-learning tag to their question for example, which can make it more likely they will get an answer. Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. By clicking "Accept all cookies", you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. More community blogs are available at Blog Overflow. Community conscious on viewing hot questions from artificial intelligence and cross validated stack exchange. However, in the case of linear regression, it turns out that the amount by which the MSE from the training dataset underestimates the predictive accuracy on a new data set can be estimated to be This is a community blog for Cross Validated Stack Exchange. The general purpose of cross-validation is to try to estimate the accuracy of your model when applied to a new dataset. Community conscious on viewing hot questions from artificial intelligence and cross validated stack exchange. To make things easier for you, we already ran the query and saved its result in our public storage, so you can download it straight from here. Cross Validated (Stack Exchange) Part of the Stack Exchange network of Q&A communities for developers, Cross Validated is a Q&A site for statistics, data analysis, data mining, data visualization and machine learning. 104. views. Stack Exchange network consists of 178 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, . It is a well-known fact that overlap is high between the three sites: Artificial Intelligence, Data Science, Cross Validated. By clicking "Accept all cookies", you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Stack Exchange network consists of 178 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, . modified Jul 29 at 18:14 desertnaut 1,696. A while ago a question was asked on stackoverflow, Most underused data visualization.Well, instead of being that guy who crashes the answering party late, I will just use this platform to give my opinion.Small Multiples. It was generated from the Stack Exchange API with this query. And . My participation waned though about the time I got a job as a professor. 1. Cross Validated help chat. $\endgroup$ - Dave Dec 23 '21 at 11:39 . In this tutorial, we'll create a model to predict whether a question on the Cross Validated Stack Exchange concerns Machine Learning or not. This is organized as three tables: Questions contains the title, body, creation date, score, and owner ID for each question. 2. answers. For a brief intro on what small multiples are see this post on the Juice Analytics blog, Better Know a Visualization: Small Multiples. When the initial cross validated stack exchange site (Stackoverflow but for statistics) was formed, I participated a ton. Community Promotion Ads — 2020 [duplicate] discussion community-ads. discussion site-promotion. The logic given was that, the TEST data set was used in finding K value, and thus the KNN-ALGORITHM is having information of the TEST dataset because K was found by using TEST dataset. But when the site got more popular… The first one, which is a Stephan Kolassa post on Cross Validated Stack Exchange, and the two blog posts by Frank Harrell will clarify the situation. Latest Articles. Stack Exchange network consists of 178 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, . $\begingroup$ Pure econometrics questions without connection to economics should be posted on cross validated stack exchange. A great place if you're stuck with a professional question and need answers from fellow professionals. Latest Articles. When starting I could skim almost every question, and I learned a ton from that participation. 6. votes. More community blogs are available at Blog Overflow. I read that we need cross-validation in KNN algorithm as the K value that we have found from the TRAIN-TEST of KNN might not be generalizable on unseen data. modified Jun 13 at 21:06 user1271772 101. Methods for cross-validation usually involve withholding a random subset . This is a community blog for Cross Validated Stack Exchange. Sign up or log in to customize your list. 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