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31. Explain the Bag of Words model in NLP.
Ans. The Bag of Words model represents text data as a collection of words and their frequency,
ignoring grammar and word order.

32. List some applications of NLP in daily life.
Ans. Chatbots, Sentiment analysis, and Translation tools
33. Define accuracy, precision, recall, and F1 score.
Ans. • Accuracy: Percentage of correct predictions.
• Precision: Ratio of true positives to all predicted positives.
• Recall: Ratio of true positives to all actual positives.

• F1 Score: Harmonic mean of precision and recall.
34. What is overfitting?
Ans. Overfitting occurs when an AI model is too complex and performs well on training data but
poorly on new data.
35. What is the purpose of the matplotlib library?
Ans. Matplotlib library is used for creating static, interactive, and animated visualisations in Python.

36. What is a CSV file, and why is it important in data science?
Ans. A CSV (Comma-Separated Values) file is a simple file format used to store tabular data, making it
easy to import and manipulate in Python.
37. What are the basic tasks in computer vision?
Ans. Image classification, Object detection, and Image segmentation.
38. What is sentiment analysis in NLP?

Ans. Sentiment analysis determines the sentiment (positive, negative, or neutral) expressed in a text.
39. What are stopwords?
Ans. Stopwords are common words (e.g., “and,” “the”) that are often removed from text data as they
add little meaning.
40. What is text normalisation?

Ans. Text normalisation converts text to a standard form, involving steps like lowercasing, removing
punctuation, and stemming.

41. What are the common statistical measures used in data science?
Ans. Mean, Median, Mode, Standard Deviation, and Variance.
42. Explain the term “object detection.”
Ans. Object detection involves identifying and locating objects within an image or video.

43. What is lemmatisation in NLP?
Ans. Lemmatisation reduces words to their root forms, considering the context (e.g., “running” is
reduced to “run”).
44. What is No Code AI?
Ans. NO Code AI refers to the approach of developing AI models with graphical, drag and drop
interfaces, with minimal or no knowledge of programming.
45. Name some No Code AI tools.

Ans. Google AutoML, Microsoft Azure ML Studio, Teachable Machine, DataRobot, and Orange Data Mining.

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