What is text cleaning in NLP? Text cleaning, also known as text preprocessing or text data cleansing, is preparing and…
What is Imputation? Imputation is a statistical and data analysis technique to fill in or estimate missing values within a…
What is label encoding machine learning? Label encoding is a technique used in machine learning and data preprocessing to convert…
What is the meaning of PCA in machine learning? PCA stands for Principal Component Analysis. It is a statistical technique…
Introduction to word embeddings Word embeddings have become a cornerstone of Natural Language Processing (NLP), transforming how machines process and…
What is skip-gram? Skip-gram is a popular algorithm used in natural language processing (NLP), specifically in word embedding techniques. It…
Why Combine Numerical Features And Text Features? Combining numerical and text features in machine learning models has become increasingly important…
What is CountVectorizer in NLP? CountVectorizer is a text preprocessing technique commonly used in natural language processing (NLP) tasks for…
Unstructured data has become increasingly prevalent in today's digital age and differs from the more traditional structured data. With the…
Endogenous and exogenous variables are two important concepts. In machine learning, endogenous variables are the variables that are directly influenced…