Tredence Interview Questions and Answers

Q1. Interpretation of logistic regression
Ans. 
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is used when the dependent variable is binary (0/1, yes/no, true/false, etc.)

• It estimates the probability that a given observation belongs to a particular category.

• The output of logistic regression is a probability score between 0 and 1.

• It uses the logistic function...read more
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Q1. Evaluation metrics, AU ROC Curve, explain one use case
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AU ROC Curve is used to evaluate the performance of classification models by measuring the trade-off between true positive rate and false positive rate.
• AU ROC Curve is commonly used in binary classification problems.

• It helps in comparing different models based on their ability to distinguish between classes.

• The area under the ROC curve (AUROC) value closer to 1 indicates a better model performance.

• For example, in healt...read more
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Q1. General managerial questions
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1 good coding question and 33 mcqs

Q1. Easy questions are asked
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Q2. Like create a database of the collages composes of students and professors
Ans. 
Create a database to store information about colleges, students, and professors.
• Create tables for colleges, students, and professors

• Include columns for relevant information such as name, ID, courses, etc.

• Establish relationships between the tables using foreign keys

• Use SQL queries to insert, update, and retrieve data

• Consider normalization to avoid data redundancy
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Q1. Some hr questions
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Q2. Project discussions
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Q1. Hr questions about family
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Q1. Use lambda function in a python code.
Ans. 
Lambda functions are anonymous functions in Python that can have any number of arguments but only one expression.
• Lambda functions are defined using the lambda keyword.

• They are commonly used with functions like map(), filter(), and reduce().

• Example: double = lambda x: x * 2
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Q2. Define precision, recall and f1 score.
Ans. 
Precision, recall, and F1 score are metrics used to evaluate the performance of classification models.
• Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.

• Recall is the ratio of correctly predicted positive observations to the all observations in actual class.

• F1 score is the harmonic mean of precision and recall, providing a balance between the two metrics.

• Pre...read more
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Q1. What is the significance of elbow curve in clustering?
Ans. 
Elbow curve helps in determining the optimal number of clusters in a dataset.
• Elbow curve is a plot of the number of clusters against the within-cluster sum of squares (WCSS).

• The point where the rate of decrease of WCSS sharply changes is considered as the optimal number of clusters.

• It helps in finding the balance between having too few or too many clusters.

• For example, if the elbow point is at 3 clusters, it suggests t
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Q2. What is the significance of support, confidence and lift in market basket analysis?
Ans. 
Support, confidence, and lift are key metrics in market basket analysis to identify relationships between items in a transaction.
• Support measures how frequently an itemset appears in the dataset.

• Confidence measures the likelihood that an item B is purchased when item A is purchased.

• Lift measures how much more likely item B is purchased when item A is purchased compared to when item B is purchased independently of item ...read more
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Q1. What is data bricks
Ans. 
Data bricks is a unified analytics platform that provides a collaborative environment for data scientists, engineers, and analysts.
• Data bricks simplifies the process of building data pipelines and training machine learning models.

• It allows for easy integration with various data sources and tools, such as Apache Spark and Delta Lake.

• Data bricks provides a scalable and secure platform for processing big data and running ...read more
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Q2. How do you optimize your code?
Ans. 
Optimizing code involves identifying bottlenecks, improving algorithms, using efficient data structures, and minimizing resource usage.
• Identify and eliminate bottlenecks in the code by profiling and analyzing performance.

• Improve algorithms by using more efficient techniques and data structures.

• Use appropriate data structures like hash maps, sets, and arrays to optimize memory usage and access times.

• Minimize resource us...read more
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Q3. What is SQL window function?
Ans. 
SQL window function is used to perform calculations across a set of table rows related to the current row.
• Window functions operate on a set of rows related to the current row

• They can be used to calculate running totals, moving averages, rank, etc.

• Examples include ROW_NUMBER(), RANK(), SUM() OVER(), etc.
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Q1. Salary expectations?
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Q2. When can you join
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