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  • October 25, 2020Blog

    Why random forest is good for feature selection?

    Why random forest is good for feature selection? Random forests are among the most popular machine learning methods thanks to their relatively good accuracy, robustness…

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  • October 25, 2020Popular

    Can you plot categorical data?

    Can you plot categorical data? To graph categorical data, one uses bar charts and pie charts. Bar chart: Bar charts use rectangular bars to plot…

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  • October 25, 2020Blog

    Is lasso better than stepwise?

    Is lasso better than stepwise? Although no method can substitute for substantive and statistical expertise, LASSO and LAR offer much better alternatives than stepwise as…

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  • October 25, 2020Guidelines

    Which is the best model for feature selection?

    Which is the best model for feature selection? Linear regression is a good model for testing feature selection methods as it can perform better if…

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  • October 25, 2020Miscellaneous

    Why is the sum of squares error used?

    Why is the sum of squares error used? Sum of squares is a statistical technique used in regression analysis to determine the dispersion of data…

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  • October 25, 2020Helpful tips

    What is multi-class sentiment analysis?

    What is multi-class sentiment analysis? Multi-class sentiment analysis on twitter: Classification performance and challenges. Abstract: Sentiment analysis refers to the automatic collection, aggregation, and classification…

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  • October 25, 2020Helpful tips

    Why would you remove rare words before doing any analysis?

    Why would you remove rare words before doing any analysis? The simplest way to explain why it may be advantageous to remove the most common…

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  • October 25, 2020Guidelines

    What are all the transformation techniques?

    What are all the transformation techniques? Feature Transformation and Scaling Techniques to Boost Your Model Performance MinMax Scaler. Standard Scaler. Power Transformer Scaler. Unit Vector…

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  • October 25, 2020Helpful tips

    How do you know if a decision tree is good?

    How do you know if a decision tree is good? Just take the below two steps to draw a decision tree: 1 Know the set…

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  • October 25, 2020Popular

    What is the batch size in stochastic gradient descent?

    What is the batch size in stochastic gradient descent? Stochastic gradient descent is a learning algorithm that has a number of hyperparameters. The batch size…

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