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Sutherland Global Services
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I applied via Recruitment Consulltant and was interviewed in Nov 2022. There were 2 interview rounds.
There are various ML algorithms such as linear regression, decision trees, random forests, SVM, KNN, neural networks, etc.
Linear regression is used for predicting continuous values
Decision trees and random forests are used for classification and regression
SVM is used for classification and regression
KNN is used for classification and regression
Neural networks are used for complex problems such as image recognition and
I applied via Campus Placement and was interviewed in Oct 2022. There were 2 interview rounds.
What people are saying about Sutherland Global Services
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Job Portal and was interviewed in Jan 2021. There were 3 interview rounds.
I have worked on various projects involving machine learning algorithms, hyperparameter tuning, cross validation, and evaluation metrics.
Developed a predictive model for customer churn using logistic regression and decision trees
Used random forest algorithm for image classification in a computer vision project
Implemented hyperparameter tuning using grid search and randomized search for a sentiment analysis project
Evalu...
Code to identify prime numbers between two given numbers.
Create a function that takes two numbers as input.
Loop through the range of numbers between the two inputs.
Check if each number is divisible by any number other than 1 and itself.
If not, add it to a list of prime numbers.
Return the list of prime numbers.
I applied via Approached by Company and was interviewed before Feb 2023. There was 1 interview round.
Hypothesis testing is a statistical method used to make inferences about a population based on sample data.
It involves formulating a hypothesis about a population parameter, collecting data, and using statistical tests to determine if the data supports or rejects the hypothesis.
There are two types of hypotheses: null hypothesis (H0) and alternative hypothesis (H1).
Common statistical tests for hypothesis testing include...
Null hypothesis is a statement that there is no significant difference or relationship between variables being studied.
Null hypothesis is typically denoted as H0 in statistical hypothesis testing.
It is the default assumption that there is no effect or relationship.
The alternative hypothesis (Ha) is the opposite of the null hypothesis.
For example, in a study testing a new drug, the null hypothesis would be that the drug...
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data.
Supervised learning requires labeled data for training
Unsupervised learning does not require labeled data
Examples of supervised learning include classification and regression
Examples of unsupervised learning include clustering and dimensionality reduction
I applied via Referral and was interviewed before Apr 2023. There were 2 interview rounds.
Normal Case study regarding Predictive modelling
The project involved exploratory data analysis (EDA) to gain insights and identify patterns in the data.
Performed data cleaning and preprocessing
Visualized data using various charts and graphs
Identified correlations and relationships between variables
Used statistical methods to analyze data
Generated hypotheses for further analysis
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