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I applied via Company Website and was interviewed in Jun 2022. There were 2 interview rounds.
I applied via Indeed and was interviewed before Apr 2021. There were 5 interview rounds.
There are several types of ML algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
Supervised learning: algorithms learn from labeled data to make predictions or classifications (e.g., linear regression, decision trees)
Unsupervised learning: algorithms find patterns or relationships in unlabeled data (e.g., clustering, dimensionality reduction)
Reinforcement learning: algorithms l...
Time series classification involves using machine learning algorithms to classify time series data based on patterns and trends.
Preprocess the time series data by removing noise and outliers
Extract features from the time series data using techniques such as Fourier transforms or wavelet transforms
Train a machine learning algorithm such as a decision tree or neural network on the extracted features
Evaluate the performan...
PCA stands for Principal Component Analysis. It is a statistical technique used for dimensionality reduction.
PCA is used to reduce the number of variables in a dataset while retaining the maximum amount of information.
It is commonly used in data preprocessing and exploratory data analysis.
PCA is also used in image processing, speech recognition, and finance.
It works by transforming the original variables into a new set...
It is a typical Data Science assignment. We have to answer few questions asked in the assignment like why do you choose the features? or where can you use this model?
The thought process for choosing the model involved considering the problem requirements, available data, and the desired outcome.
Identified the problem requirements and objectives
Explored the available data and its quality
Considered the nature of the problem (classification, regression, etc.)
Evaluated different models suitable for the problem
Analyzed the strengths and weaknesses of each model
Selected the model that be...
EDA involved exploratory analysis of data to identify patterns and insights. Features included demographic and behavioral data. Metrics used were accuracy, precision, recall, and F1 score.
EDA involved data cleaning, visualization, and statistical analysis
Features included age, gender, income, education, and purchase history
Metrics used were accuracy, precision, recall, and F1 score to evaluate model performance
Explorat...
I expect a competitive salary based on my experience, skills, and the market rate for data scientists.
I have researched the average salary range for data scientists in the industry.
I have considered my level of experience and expertise in the field.
I am open to discussing the salary package based on the overall compensation package offered by the company.
I value fair compensation that aligns with the responsibilities a
I worked as a Data Scientist at XYZ company.
Developed machine learning models to predict customer churn.
Analyzed large datasets to identify patterns and trends.
Collaborated with cross-functional teams to develop data-driven solutions.
Implemented data visualization techniques to communicate insights to stakeholders.
I applied via Approached by Company and was interviewed before Jul 2022. There were 2 interview rounds.
I applied via LinkedIn and was interviewed before Mar 2022. There were 2 interview rounds.
Rolls-Royce interview questions for popular designations
I applied via Company Website and was interviewed in Apr 2021. There were 4 interview rounds.
I applied via Company Website and was interviewed before Jul 2021. There were 2 interview rounds.
Thrust of an engine can be calculated using given specifications.
Determine the mass flow rate of the engine
Calculate the exit velocity of the exhaust gases
Multiply mass flow rate and exit velocity to get thrust
Thrust = mass flow rate * exit velocity
Consider any losses in the system
Efficiency of Rankine/Brayton cycle can be found using the formula: Efficiency = (Net work output/Heat input)
Efficiency is a measure of how much useful work is obtained from a given amount of energy input
Net work output is the difference between the work done by the system and the work done on the system
Heat input is the amount of heat energy supplied to the system
Efficiency can be improved by increasing the temperatur...
I applied via Campus Placement and was interviewed in Dec 2016. There were 7 interview rounds.
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