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I applied via Referral and was interviewed in Dec 2023. There was 1 interview round.
I used the Random Forest algorithm in my project.
Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.
It is used for both classification and regression tasks.
Random Forest reduces overfitting and provides feature importance.
Example: I used Random Forest to predict customer churn in a telecom company.
SQL is a programming language used for managing and manipulating relational databases. A database is a structured collection of data.
SQL is used to retrieve, insert, update, and delete data from a database.
A database is a software system that stores and organizes data in a structured manner.
SQL allows users to define the structure of a database, create tables, and establish relationships between tables.
Examples of data
Joins in SQL are used to combine rows from two or more tables based on a related column between them.
Joins are used to retrieve data from multiple tables in a single query.
Common types of joins include inner join, left join, right join, and full outer join.
Joins are performed using the JOIN keyword and specifying the columns to join on.
Joins can be used to combine tables based on matching values or non-matching values.
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I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
I applied via LinkedIn and was interviewed before Apr 2023. There was 1 interview round.
fbprophet is a forecasting model developed by Facebook that uses time series data to make predictions.
fbprophet is an open-source forecasting tool developed by Facebook's Core Data Science team.
It is based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.
fbprophet can be used to forecast traffic by providing historical data on traffic patterns and usi...
I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.
Basic self evaluation test.
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
Use resampling techniques like oversampling or undersampling to balance the classes.
Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.
Adjust class weights in the model to give more importance to minority class.
Use evaluation metrics like F1 score, precision, r...
I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.
Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.
One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.
Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.
Evaluate the model using appropriate...
posted on 21 Oct 2022
I applied via Approached by Company and was interviewed in Sep 2022. There were 3 interview rounds.
I appeared for an interview in Feb 2017.
Normalization to BCNF ensures that every non-trivial functional dependency is satisfied.
Identify all functional dependencies
Eliminate partial dependencies
Eliminate transitive dependencies
Ensure every determinant is a candidate key
HAVING clause is used with GROUP BY to filter groups, WHERE clause is used to filter rows.
HAVING clause is used with GROUP BY clause to filter groups based on aggregate functions.
WHERE clause is used to filter rows based on conditions.
HAVING clause is used after GROUP BY clause, while WHERE clause is used before GROUP BY clause.
HAVING clause can use aggregate functions, while WHERE clause cannot.
Example: SELECT categor...
I applied via Referral and was interviewed before Jun 2020. There were 3 interview rounds.
Around 600 flights are handled by Bangalore airport on a daily basis.
Bangalore airport is one of the busiest airports in India
It handles both domestic and international flights
On average, there are around 25-30 flights per hour
The number of flights may vary depending on the day of the week and time of the year
I applied via Referral and was interviewed in Nov 2019. There were 5 interview rounds.
Implemented a machine learning model to predict customer churn using advanced algorithms
Developed a predictive model using logistic regression, random forest, and gradient boosting
Utilized feature engineering techniques to improve model performance
Integrated the model into the company's CRM system for real-time predictions
Find the missing number from 1 million random numbers.
Calculate the sum of all numbers from 1 to 1 million using the formula n(n+1)/2
Calculate the sum of all the given numbers
Subtract the sum of given numbers from the sum of all numbers to get the missing number
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