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To calculate mode in Python:


                 [1]:   import statistics
                        marks=[45,34,41,46,47,39,38,48,45,34,41,39,39]
                        m=statistics.mode(marks)
                        print("the most frequent marks :",m)

                        the most frequent marks : 39

              Standard Deviation

              It is the measure of dispersion of a set of data from its mean. The higher the dispersion of the data, the greater
              is the standard deviation and vice versa.

                                                      (x - mean) 2
                   The formula for calculation:   =
                                                         n
              To calculate Standard Deviation in Python:

                 [1]:   import statistics
                        marks=[45,34,41,46,47,39,38,48,45,34,41,39,39]
                        m=statistics.stdev(marks)
                        print("the standard deviation of marks :",round(m,2))

                        the standard deviation of marks : 4.66

              Variance

              It means how far each number in the given dataset is from the mean value. It is calculated as the average of the
              squares of the differences between an individual value and the expected value or average squared deviation of
              each number from the mean of a given data set.
                                                                           (x - μ) 2
              The formula for calculation for variance is:           2 =
                                                                            n
              To calculate Variance in Python:


                 [1]:   import statistics
                        marks=[45,34,41,46,47,39,38,48,45,34,41,39,39]
                        m=statistics.variance(marks)
                        print("the variance of marks :",round(m,2))

                        the variance of marks : 21.69

                       NLTK



              The Natural Language Toolkit (NLTK) is one of the most commonly used open-source NLP toolkit that is made
              up of Python libraries and is used for building programs that help in synthesis and statistical analysis of human
              language processing. The text processing libraries do text processing through tokenization, parsing, classification,
              stemming, tagging and semantic reasoning.

              Installing NLTK

              To install NLTK open command prompt in your computer and type:

                                                        pip install nltk



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