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I applied via Campus Placement and was interviewed in Nov 2022. There were 3 interview rounds.
I applied via Campus Placement and was interviewed before Feb 2023. There were 2 interview rounds.
Leetcode hard level coding with 4-5 questions
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I applied via Walk-in and was interviewed in Jul 2024. There was 1 interview round.
I am a dedicated and detail-oriented professional with a background in marketing and a passion for driving results.
Background in marketing
Detail-oriented
Passion for driving results
I applied via Naukri.com and was interviewed in Apr 2024. There were 3 interview rounds.
Basic knowledge of the candidates
Program out put and input question
Giveing a situation and ask for the results
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
posted on 10 Mar 2016
I applied via Campus Placement
I applied via Recruitment Consultant and was interviewed in Dec 2018. There were 3 interview rounds.
I chose Data Science field because of its potential to solve complex problems and make a positive impact on society.
Fascination with data and its potential to drive insights
Desire to solve complex problems and make a positive impact on society
Opportunity to work with cutting-edge technology and tools
Ability to work in a variety of industries and domains
Examples: Predictive maintenance in manufacturing, fraud detection
Linear Regression is used for predicting continuous numerical values, while Logistic Regression is used for predicting binary categorical values.
Linear Regression predicts a continuous output, while Logistic Regression predicts a binary output.
Linear Regression uses a linear equation to model the relationship between the independent and dependent variables, while Logistic Regression uses a logistic function.
Linear Regr...
Confusion matrix is a table used to evaluate the performance of a classification model.
It is a 2x2 matrix that shows the number of true positives, false positives, true negatives, and false negatives.
It helps in calculating various metrics like accuracy, precision, recall, and F1 score.
It is useful in identifying the strengths and weaknesses of a model and improving its performance.
Example: In a binary classification p...
No, confusion matrix is not used in Linear Regression.
Confusion matrix is used to evaluate classification models.
Linear Regression is a regression model, not a classification model.
Evaluation metrics for Linear Regression include R-squared, Mean Squared Error, etc.
KNN is a non-parametric algorithm used for classification and regression tasks.
KNN stands for K-Nearest Neighbors.
It works by finding the K closest data points to a given test point.
The class or value of the test point is then determined by the majority class or average value of the K neighbors.
KNN can be used for both classification and regression tasks.
It is a simple and easy-to-understand algorithm, but can be compu
Random Forest is an ensemble learning method that builds multiple decision trees and combines their outputs to improve accuracy.
Random Forest is a type of supervised learning algorithm used for classification and regression tasks.
It creates multiple decision trees and combines their outputs to make a final prediction.
Each decision tree is built using a random subset of features and data points to reduce overfitting.
Ran...
I have worked on various projects involving data analysis, machine learning, and predictive modeling.
Developed a predictive model to forecast customer churn for a telecommunications company.
Built a recommendation system using collaborative filtering for an e-commerce platform.
Performed sentiment analysis on social media data to understand customer opinions and preferences.
Implemented a fraud detection system using anom...
I applied via Company Website and was interviewed before May 2021. There was 1 interview round.
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