Source: logit.io
The Top 8 Data Analysis Mistakes To AvoidCategory: Database, Data, automation
Data analysis is incredibly useful for all kinds of businesses and also has academic and hobbyist applications. That’s why we’re giving you a list of the top 8 common data analysis mistakes to avoid at all costs. Our first expert Jitin Narang, CMO at https://www.techaheadcorp.com/ contributed the following five top data mistakes to avoid: Unstructured Data Analysis
“While performing data analysis, any datasets need to be split into training & testing dataset where the model is trained on the training data & the required metrics are being checked on a completely new kind of data i.e. the testing data.”
All data points before that threshold date go into training data and all data points after that threshold data go into testing data.”
“While performing data analysis, any datasets need to be split into training & testing dataset where the model is trained on the training data & the required metrics are being checked on a completely new kind of data i.e. the testing data.”
All data points before that threshold date go into training data and all data points after that threshold data go into testing data.”
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