👉 Recompletion, in the context of natural language processing and machine learning, refers to the process of replacing incomplete or missing information with a more accurate representation. This can be done by analyzing previous data sets and identifying patterns that can be used to fill in the blanks. For instance, if you're training a model to predict stock prices based on historical data, you might replace missing values with the average price for each day, which would provide a more complete picture of the market's performance. This process is
