DataPuzzles

Sentiment analysis is a valuable tool for examining the emotional tone and bias in text data. While it is commonly used in marketing and customer service, I’m particularly interested in its application for fake news detection. [Read More]

When working with datasets, handling missing values becomes a important aspect of data preprocessing. As an example I chose the Titanic dataset, famous for its use in machine learning and data science education. Today, we’re exploring how different methods of imputing missing values can affect the distribution of a dataset,... [Read More]