Tredence Interview Questions and Answers

55 ML questions and aptitude and 3 python questions and 2 sql questions

Q1. Normal distribution plot
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Q2. Standardisation vs normalisation
Ans. 
Standardisation and normalisation are techniques used to scale and transform data in order to improve model performance.
• Standardisation (Z-score normalisation) scales the data to have a mean of 0 and a standard deviation of 1.

• Normalisation (Min-Max scaling) scales the data to a specific range, typically between 0 and 1.

• Standardisation is less affected by outliers compared to normalisation.

• Standardisation is preferred w...read more
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Q3. How to handle outliars
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Outliers can be handled by identifying, analyzing, and either removing or transforming them in the data.
• Identify outliers using statistical methods like Z-score or IQR.

• Analyze the outliers to understand if they are errors or valid data points.

• Remove outliers if they are errors or transform them using techniques like winsorization or log transformation.

• Consider using robust statistical methods that are less sensitive to...read more
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Q4. Draw Box-plot and explain its characteristics
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Box-plot is a visual representation of the distribution of a dataset, showing the median, quartiles, and outliers.
• Box-plot displays the median (middle line), quartiles (box), and outliers (dots or lines).

• The length of the box represents the interquartile range (IQR).

• Whiskers extend to the smallest and largest non-outlier data points within 1.5 times the IQR from the quartiles.

• Outliers are plotted individually as dots o...read more
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Q1. How do you manage your time
Ans. 
I manage my time by prioritizing tasks, creating schedules, setting deadlines, and using time management tools.
• Prioritize tasks based on importance and deadlines

• Create daily or weekly schedules to allocate time for different tasks

• Set deadlines for each task to stay on track

• Use time management tools like calendars, to-do lists, and productivity apps

• Avoid multitasking and focus on one task at a time

• Take breaks to avoid b...read more
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Q2. Why you want to join Tredence
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I want to join Tredence because of their reputation for cutting-edge data science projects and collaborative work environment.
• Tredence is known for their innovative data science projects

• I value the collaborative work environment at Tredence

• I believe Tredence will provide opportunities for professional growth and development
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Q1. Implemented resposnsive design ? what is promises ? diff between flex and grid ?
Ans. 
Responsive design adapts layouts to different screen sizes; promises handle asynchronous operations in JavaScript; flex and grid are layout models.
• Responsive design uses CSS media queries to adjust styles based on device characteristics.

• Example of responsive design: Using 'max-width' in CSS to change layout for mobile devices.

• Promises in JavaScript represent the eventual completion (or failure) of an asynchronous opera...read more
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Q2. What is filter method and map method write code on that
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The filter method creates a new array with elements that pass a test, while map transforms each element in an array.
• filter: Returns a new array with elements that meet a condition. Example: [1, 2, 3].filter(x => x > 1) results in [2, 3].

• map: Creates a new array by applying a function to each element. Example: [1, 2, 3].map(x => x * 2) results in [2, 4, 6].

• Both methods do not modify the original array and are c...read more
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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.
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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...read more
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Q2. What is the significance of support, confidence and lift in market basket analysis?
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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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