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I applied via Recruitment Consultant and was interviewed in Sep 2021. There were 3 interview rounds.
There are several algorithms used for classification, including decision trees, logistic regression, k-nearest neighbors, and support vector machines.
Decision trees: a tree-like model where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label
Logistic regression: a statistical method that uses a logistic function to model a bina...
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PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.
PCA is used to reduce the number of variables in a dataset while retaining the most important information.
Decision trees are used to classify data based on a set of rules and conditions.
Computer vision involves usin...
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
I applied via LinkedIn and was interviewed in Aug 2024. There were 2 interview rounds.
More of coding questions
Hack rank coding, timed test, any language
Developed a predictive model for customer churn in a telecom company
Used machine learning algorithms like logistic regression and random forest
Analyzed customer data such as call duration, plan details, and customer complaints
Achieved 85% accuracy in predicting customer churn
I applied via Recruitment Consulltant and was interviewed in May 2023. There were 3 interview rounds.
Machine Learning algorithms are used to train models on data to make predictions or decisions without being explicitly programmed.
Machine Learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.
Examples of unsupervised learning algorithms include k-means clustering, ...
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
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