FedEx Express Data Scientist Interview Questions and Answers

It was 45 min interview based on mathematical, probablity, statistical, machine leaning based questions

It was on python ,SQL ,logical reasoning and quant

Case study was given on a business scenario

Q1. Technical questions based on cv related to ML project And HR question
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Q2. What is cross validation explain in layman term What is precision What is confusion Matrix draw with dummy data
Ans. 
Cross validation is a technique to evaluate the performance of a model by splitting the data into multiple subsets.
• Cross validation helps in assessing how well a model generalizes to new data.

• It involves splitting the data into training and testing sets multiple times to get a more reliable estimate of model performance.

• Common types of cross validation include k-fold cross validation and leave-one-out cross validation.
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Q3. Tell me a situation where your opinion came to help
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Q4. Draw confusion Matrix on board
Ans. 
Confusion Matrix is a table used to describe the performance of a classification model.
• Confusion Matrix is a 2x2 table with Actual and Predicted values

• It consists of True Positive, True Negative, False Positive, and False Negative

• Example: TP=100, TN=50, FP=10, FN=5

• Accuracy = (TP + TN) / (TP + TN + FP + FN)

• Precision = TP / (TP + FP)

• Recall = TP / (TP + FN)
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Q5. Project related questions - objective,reuslts
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