Introduction Text data is everywhere—from social media posts and customer reviews to emails and product descriptions. For data scientists and…
What is Missing Data in Machine Learning? In machine learning, the quality and completeness of data are often just as…
What is Predictive Analytics? Predictive analytics uses historical data, statistical algorithms, and machine learning techniques to identify patterns and forecast…
What is Linear Regression in Machine Learning? Linear regression is one of the fundamental techniques in machine learning and statistics…
What is a Confusion Matrix? A confusion matrix is a fundamental tool used in machine learning and statistics to evaluate…
What is Ordinary Least Squares (OLS)? Ordinary Least Squares (OLS) is a fundamental technique in statistics and econometrics used to…
What is the METEOR Score? The METEOR score, which stands for Metric for Evaluation of Translation with Explicit ORdering, is…
What is BERTScore? BERTScore is an innovative evaluation metric in natural language processing (NLP) that leverages the power of BERT…
What is the BLEU Score in NLP? BLEU, Bilingual Evaluation Understudy, is a metric used to evaluate the quality of…
What is the ROUGE Metric? ROUGE, which stands for Recall-Oriented Understudy for Gisting Evaluation, is a set of metrics used…