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Short Notes

ML – Customer Segmentation

Dividing customers into groups based on similar functionality or customer segmentation is based on the problem of clustering which means…

NLP – Bag of Words

Bag of Words A bag of words is a particular representation model used to simplify the contents of a selection…

NLP – Word segmentation

Word segmentation  This is the act of taking a string of text and deriving word forms from it. Example: A…

NLP – N-grams

N-grams A combination of multiple words together is called N-Grams. N-grams (N > 1) are generally more informative as compared…

NLP – Tokenization

Tokenization It's the process of breaking down the text into sentences and phrases. The work entails breaking down a text…

NLP – Corpus

Corpus In linguistics and NLP, corpus (literally Latin for body) refers to a collection of texts. Such collections may be formed…

Python – Functions

Functions A function is a rule for taking zero or more inputs and returning a corresponding output. In Python, we…

Linear Regression – Cons[2]

Prone to outliers Linear regression is very sensitive to outliers (anomalies). So, outliers should be analysed and removed before applying…

Linear Regression – Cons[1]

Only Linear Problems Ordinary Least Squares won't work well with non-linear data. If you are not sure about the linearity…