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  • October 16, 2020Miscellaneous

    What is the purpose of RepeatVector?

    What is the purpose of RepeatVector? repeatVector() function is used to repeat the input n number of times in a new specified dimension. It is…

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  • October 16, 2020Helpful tips

    How do you gain customer loyalty?

    How do you gain customer loyalty? 5 Essential Ways to Win Customer Loyalty Be proactive. Being one step ahead of your customers is a sure…

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  • October 16, 2020Miscellaneous

    How do I install a specific version of tensorflow with PIP?

    How do I install a specific version of tensorflow with PIP? “how to install specific version of tensorflow” Code Answer’s pip install –upgrade pip. pip…

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  • October 16, 2020Blog

    What projects should I do for data science?

    What projects should I do for data science? These 4 types of projects are: Data cleaning projects. Exploratory data analysis projects. Data visualization projects (preferably…

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  • October 16, 2020Popular

    How do you use AUC ROC curve for multi-class model?

    How do you use AUC ROC curve for multi-class model? How do AUC ROC plots work for multiclass models? For multiclass problems, ROC curves can…

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  • October 16, 2020Guidelines

    How to split data into training, test and validation?

    How to split data into training, test and validation? Divide the available data into training, validation and test set Evaluate the model using the validation…

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  • October 16, 2020Miscellaneous

    What is the main difference between clustering and classification?

    What is the main difference between clustering and classification? Classification and clustering are techniques used in data mining to analyze collected data. Classification is used…

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  • October 16, 2020Miscellaneous

    What is a social sentiment score?

    What is a social sentiment score? The S-Score measures the deviation of changes in sentiment intensity of a given stock. The S-Score answers the question,…

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  • October 16, 2020Miscellaneous

    Can logistic regression deal with categorical variables?

    Can logistic regression deal with categorical variables? Similar to linear regression models, logistic regression models can accommodate continuous and/or categorical explanatory variables as well as…

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  • October 16, 2020Popular

    What is the purpose of median absolute deviation?

    What is the purpose of median absolute deviation? Uses. The median absolute deviation is a measure of statistical dispersion. Moreover, the MAD is a robust…

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