AlmaBetter Data Analyst Interview Questions and Answers for Experienced

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Q1. ML Interview Questions
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Q2. Difference between TF-IDF and Bag of Words
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TF-IDF considers term frequency and inverse document frequency, while Bag of Words only counts word occurrences.
• TF-IDF assigns weights to words based on their frequency in a document and across all documents.

• Bag of Words represents text as a collection of words and their frequencies, ignoring the order of words.

• TF-IDF is more advanced and takes into account the importance of words in a document, while Bag of Words is s
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Q3. What is Overfitting?
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Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
• Overfitting happens when a model is too complex and captures noise in the training data.

• It leads to poor generalization to new data, as the model is too specific to the training set.

• Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

• Example: A decision tree with too many b...read more
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Q4. Difference between Bias and Variance
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Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
• Bias is error from erroneous assumptions in the learning algorithm, leading to underfitting.

• Variance is error from too much complexity in the learning algorithm, leading to overfitting.

• Bias and variance are inversely related - increasing one decreases the other.

• Example: A linear regression model may have high bias but low...read more
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Q5. Screen Share and Code
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