N-grams
A combination of multiple words together is called N-Grams. N-grams (N > 1) are generally more informative as compared to words and can be used as features for language modeling…
NLP – Tokenization
Tokenization
It’s the process of breaking down the text into sentences and phrases. The work entails breaking down a text into smaller chunks (known as tokens) while discarding some characters, such as punctuation.
Consider the following example:
Text input: Potter …
NLP – Corpus
Corpus
In linguistics and NLP, corpus (literally Latin for body) refers to a collection of texts. Such collections may be formed of a single language of texts, or can span multiple languages — there are numerous reasons for which …
NLP – Natural language processing [Intro]
Hi folks, Here in this article we are going to see basic terminology and learn about Natural Language processing.
Introduction
We are surrounded by millions or trillion of data and counts increasing day by day, So some genius think that, …
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 to the dataset.…
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 or if you know your data has non-linear relations then this is a giveaway that most likely Ordinary Least Squares …
SQL Window Function – part 1
Hi folks here in this article we are going to see what is window function in SQL, and how it is useful for data analyst for data preprocessing or generation accumulated data with lots of information, combination of calculation and …
Clustering, Classification and Regression
Hi folks, In the field of machine learning we all know the type of problems are different, sometimes we predict the value on previous set of data – Where data learn from available dataset, Or sometimes grouping them into some …
Want to learn data science
Hey folks today I’m going to write about data science and what you need to know before entering into this field. So, whoever wants to enter into data science realm, he/she needs to know that the some points. All the …
Bias and Variance in Machine Learning
Hello folks, towards onwards I’m going to start new articles , tutorials , tips and tricks about Machine learning , Data science and related to this field. hope this articles will help you all. today going to add an article …