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  • January 17, 2019Popular

    Why is it important to have a balanced dataset?

    Why is it important to have a balanced dataset? From the above examples, we notice that having a balanced data set for a model would…

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  • January 17, 2019Contributing

    How do you identify outliers in numbers?

    How do you identify outliers in numbers? The most effective way to find all of your outliers is by using the interquartile range (IQR). The…

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  • January 17, 2019Helpful tips

    What are the applications of graph theory?

    What are the applications of graph theory? Graph theory is used to find shortest path in road or a network. In Google Maps, various locations…

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  • January 17, 2019Blog

    How do you identify a random seed?

    How do you identify a random seed? For example, “take a number x, add 900 +x, then subtract 52.” In order for the process to…

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  • January 17, 2019Blog

    What are the properties of ML algorithms?

    What are the properties of ML algorithms? If you think in those terms, you will see that ML algorithms match that: Linear and Logistic Regressions,…

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  • January 17, 2019Popular

    How much data is created every day IBM?

    How much data is created every day IBM? IBM What is big data? – Bringing big data to the Enterprise. Everyday, we create 2.5 quintillion…

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  • January 17, 2019Blog

    How overfitting can be removed?

    How overfitting can be removed? Handling overfitting Reduce the network’s capacity by removing layers or reducing the number of elements in the hidden layers. Apply…

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  • January 17, 2019Blog

    What do you mean by linear model?

    What do you mean by linear model? Linear models are a way of describing a response variable in terms of a linear combination of predictor…

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  • January 17, 2019Guidelines

    How do you deal with different types of missing data?

    How do you deal with different types of missing data? Deletion. Listwise deletion (complete-case analysis) removes all data for an observation that has one or…

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  • January 17, 2019Guidelines

    How do you separate categorical data?

    How do you separate categorical data? We treat numeric and categorical variables differently in Data Wrangling….How to separate numeric and categorical variables in a dataset…

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