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I applied via LinkedIn and was interviewed in May 2024. There was 1 interview round.
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.
It assumes a linear relationship between the independent and dependent variables.
The goal of linear regression is to find the best-fitting line that minimi...
I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Recruitment Consultant and was interviewed in Sep 2020. There were 3 interview rounds.
I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.
Explain dynamic programming with memoization
I applied via Approached by Company and was interviewed in May 2022. There were 3 interview rounds.
Outliers can be handled by removing, transforming or imputing them. Imbalanced datasets can be handled by resampling techniques. Feature engineering involves creating new features from existing ones.
Outliers can be removed using statistical methods like z-score or IQR.
Outliers can be transformed using techniques like log transformation or box-cox transformation.
Outliers can be imputed using techniques like mean imputat...
Linear regression is a statistical method to model the relationship between a dependent variable and one or more independent variables.
It assumes a linear relationship between the variables
It is used to predict the value of the dependent variable based on the independent variable(s)
It can be simple linear regression (one independent variable) or multiple linear regression (more than one independent variable)
It is commo...
ML algorithms are used to train models on data to make predictions or decisions. Some popular ones are SVM, KNN, and Random Forest.
Support Vector Machines (SVM)
K-Nearest Neighbors (KNN)
Random Forest
Naive Bayes
Decision Trees
Linear Regression
Logistic Regression
Neural Networks
Gradient Boosting
Clustering Algorithms (K-Means, Hierarchical)
Association Rule Learning (Apriori)
Dimensionality Reduction Algorithms (PCA, LDA)
Reinf
I applied via Naukri.com and was interviewed before Apr 2022. There were 3 interview rounds.
DS related Case study and discussion
Python code example test where they will ask basic python or sql questions.
I applied via Campus Placement and was interviewed in Apr 2023. There were 3 interview rounds.
Java script, angular js, node questions
based on 1 interview
Interview experience
Senior Data Scientist
3
salaries
| ₹9.8 L/yr - ₹10 L/yr |
TCS
Accenture
Wipro
Cognizant