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I applied via Campus Placement and was interviewed before Sep 2022. There were 4 interview rounds.
Test based on js, python, html and css
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My friends think of me as reliable, supportive, and always up for a good time.
Reliable - always there when they need help or support
Supportive - willing to listen and offer advice
Fun-loving - enjoys socializing and trying new things
I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.
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 LinkedIn and was interviewed in Feb 2023. There were 6 interview rounds.
Platform HackerEarth
9 Questions
2 Coding Questions on Python based on Dynamic Programming
7 Questions MCQ on Data Science and SQL
I applied via Referral and was interviewed in Aug 2022. There were 3 interview rounds.
Relevant projects in Data Science and expertise in tools and technologies
Projects: Predictive modeling, Natural Language Processing, Computer Vision, Recommender Systems, Time Series Analysis
Tools: Python, R, SQL, Tableau, Hadoop, Spark, TensorFlow, Keras, Scikit-learn
Technologies: Machine Learning, Deep Learning, Big Data, Cloud Computing, Data Visualization
I applied via AmbitionBox and was interviewed in Jul 2023. There was 1 interview round.
Decision Tree algorithm is a supervised learning algorithm used for classification and regression tasks.
Decision Tree algorithm is based on a tree-like model of decisions and their possible consequences.
It uses a set of rules to split the data into branches and make predictions at the leaf nodes.
The algorithm selects the best attribute to split the data based on certain criteria like information gain or Gini index.
Deci...
I applied via Naukri.com and was interviewed in May 2024. There were 4 interview rounds.
Screening round,2 programming and 5 MCQs
I applied via Company Website and was interviewed in Apr 2024. There were 3 interview rounds.
This round Medium level leet code question
Cpg case study logistic regression linear regression
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