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I applied via Referral and was interviewed in Apr 2023. There were 3 interview rounds.
Data science, ML concepts, statistics, python output
Correlation measures the strength and direction of a relationship between two variables. A correlation of 0 indicates no linear relationship.
Correlation measures the degree to which two variables move in relation to each other. It ranges from -1 to 1.
A correlation of 0 means there is no linear relationship between the variables. They are not related in a linear fashion.
For example, if the correlation between hours of s...
Regression models can be evaluated using R squared and adjusted R squared to measure the goodness of fit.
R squared measures the proportion of the variance in the dependent variable that is predictable from the independent variables.
Adjusted R squared adjusts for the number of predictors in the model, providing a more accurate measure of goodness of fit.
R squared can be artificially inflated by adding more predictors, w...
Regularization techniques help prevent overfitting in machine learning models. Ridge regression adds L2 regularization, while Lasso regression adds L1 regularization.
Regularization techniques help prevent overfitting by adding a penalty term to the loss function.
Ridge regression adds the squared magnitude of coefficients as penalty term (L2 regularization).
Lasso regression adds the absolute magnitude of coefficients as...
Decision trees are a popular machine learning algorithm used for classification and regression tasks.
Decision trees are a flowchart-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.
To select parent and child nodes, the algorithm calculates the best split at each node based on criteria like Gini impurity or inform...
Explanation of bagging, boosting, ensemble models, handling overfitting, and precision-recall-ROC curve.
Bagging (Bootstrap Aggregating) involves training multiple models on different subsets of the training data and combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, with each model correcting the errors of its predecessor.
Ensemble models combine multiple ind...
Creating dictionary in Python from 2 lists, using window functions and joins in SQL
To create a dictionary in Python from 2 lists and key values, you can use the zip() function
Example: dict(zip(keys_list, values_list))
For SQL window functions like Rank(), you can use the OVER() clause
Example: SELECT column1, column2, RANK() OVER(ORDER BY column3) AS rank_column FROM table_name
For SQL joins, you can use INNER JOIN, LEFT ...
I applied via Referral and was interviewed in Sep 2024. There were 2 interview rounds.
Node.js is a runtime environment that allows you to run JavaScript on the server side.
Node.js is built on Chrome's V8 JavaScript engine.
It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient.
Node.js is commonly used for building server-side applications, APIs, and real-time applications.
It has a large ecosystem of libraries and frameworks, such as Express.js and Socket.io.
In Node.js, timers can be implemented using functions like setTimeout() and setInterval().
Use setTimeout() to execute a function once after a specified delay
Use setInterval() to execute a function repeatedly at a specified interval
Clear a timer using clearTimeout() or clearInterval()
Example: setTimeout(() => { console.log('Timer executed!'); }, 2000);
Hashing is a technique used to map data to a fixed-size array, collision occurs when two different inputs produce the same hash value.
Hashing involves using a hash function to map data to a fixed-size array.
Collision happens when two different inputs produce the same hash value.
Common techniques to handle collisions include chaining and open addressing.
No, time complexity of HashMap is not always O(1).
Time complexity of HashMap is O(1) on average, but can degrade to O(n) in worst case scenarios.
Worst case scenarios include hash collisions, which can lead to linear probing and degrade performance.
Load factor and capacity of the HashMap can also affect time complexity.
In scenarios where many keys hash to the same index, the time complexity can degrade.
I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.
1 dsa question 1 sql and 18 mcq questions
posted on 9 Dec 2024
Tree algorithm about some riddels
posted on 20 Apr 2024
I applied via Walk-in and was interviewed in Mar 2024. There were 2 interview rounds.
Tool test as been conducted
I applied via Referral and was interviewed in Feb 2024. There was 1 interview round.
DGCA stands for Directorate General of Civil Aviation. They are the regulatory body for civil aviation in India.
DGCA stands for Directorate General of Civil Aviation
They are the regulatory body for civil aviation in India
Responsible for regulation of air transport services, safety oversight, and airworthiness standards
Issues licenses to pilots, engineers, and air traffic controllers
CAMO stands for Computer-Aided Manufacturing Optimization. It is a process that uses computer software to optimize manufacturing processes.
CAMO uses computer software to analyze and optimize manufacturing processes
It helps in reducing production costs and improving efficiency
CAMO can be used in various industries such as automotive, aerospace, and electronics
Examples of CAMO software include Siemens NX, Autodesk Fusion
CAAM stands for Corrective Action and Preventive Action. It is a systematic approach to identifying, investigating, and resolving quality issues.
CAAM helps in addressing quality issues by identifying root causes and implementing corrective actions to prevent recurrence.
It involves documenting the problem, investigating the cause, implementing corrective actions, and monitoring the effectiveness of the actions taken.
CAA...
SB stands for Standard Deviation and AD stands for Average Deviation.
SB (Standard Deviation) is a measure of the amount of variation or dispersion of a set of values. It shows how much variation or dispersion exists from the average (mean) value.
AD (Average Deviation) is a measure of the average absolute difference between each data point and the mean of the data set.
I applied via Job Portal and was interviewed in May 2024. There were 2 interview rounds.
Aerospace, Airplane related SW need to meet the DO178C, asking experiences with this
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