Microsoft Corporation Data Scientist 2 Interview Questions and Answers

Q1. How can Logistic regression be applied for multiclasstext classification
Ans. 
Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.
• One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.

• Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.

• Evaluate the model using appropriate...read more
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Q1. How does fbpropher forecasting model works and how is can be used to forecsst trafffic
Ans. 
fbprophet is a forecasting model developed by Facebook that uses time series data to make predictions.
• fbprophet is an open-source forecasting tool developed by Facebook's Core Data Science team.

• It is based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.

• fbprophet can be used to forecast traffic by providing historical data on traffic patterns and usi...read more
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Binary tree question was asked

Q1. Several tech question related to past projects and random forest etc were asked.
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Q1. Tell me about yourself and several other questions
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Q1. Your past experience related questions
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Q1. Role related questions
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Q1. Explain K-Means algorithm
Ans. 
K-Means is a clustering algorithm that partitions data into K clusters based on similarity.
• Divides data points into K clusters based on distance from centroid

• Iteratively updates centroids to minimize within-cluster variance

• Requires specifying number of clusters K beforehand

• Example: Grouping customers based on purchasing behavior
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Q1. How do you select the appropriate learning algorithm for a problem?
Ans. 
Selecting the appropriate learning algorithm involves considering the problem's characteristics and requirements.
• Understand the problem's nature, such as classification, regression, clustering, etc.

• Consider the size of the dataset and the computational resources available.

• Evaluate the complexity of the relationships within the data.

• Experiment with different algorithms and compare their performance using metrics like ac...read more
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Q1. Questions to assess compatibility with team culture
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Q1. What is p value
Ans. 
P value is a statistical measure that helps determine the significance of results in hypothesis testing.
• P value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

• A small p value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

• Conversely, a large p value (> 0.05) suggests weak evidence against the null hypot...read more
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Q2. When will you use t test
Ans. 
T test is used to determine if there is a significant difference between the means of two groups.
• Use t test when comparing means of two groups to determine if there is a significant difference.

• Commonly used in hypothesis testing to assess if there is a statistically significant difference between groups.

• Example: Comparing the average test scores of students who received tutoring versus those who did not.

• Example: Testin...read more
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How will you do customer segmentation

Q1. Tools you worked on previously
Ans. 
I have worked with tools such as Python, R, SQL, Tableau, and Excel for data analysis and visualization.
• Python

• R

• SQL

• Tableau

• Excel
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Q2. Why did you choose cisco
Ans. 
I chose Cisco for its reputation as a leader in networking technology and its commitment to innovation.
• Cisco is a global leader in networking technology

• Cisco has a strong reputation for innovation and cutting-edge solutions

• I admire Cisco's commitment to diversity and inclusion in the workplace
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