Radico NV Distilleries Maharashtra Interview Questions and Answers

ML data preparation involves cleaning, transforming, and organizing data for analysis. EDA involves exploring and visualizing data to understand its characteristics.

• Data cleaning: removing missing values, handling outliers, and dealing with duplicates

• Data transformation: encoding categorical variables, scaling numerical features, and creating new features

• Data organization: splitting data into training and testing sets, and handling imbalanced classes

• Exploratory Data Analysis ...read more

CLT theorem states that the distribution of sample means approaches a normal distribution as sample size increases.

• Central Limit Theorem (CLT) is a fundamental concept in statistics that states that the distribution of sample means approaches a normal distribution as the sample size increases.

• It is used in hypothesis testing, confidence intervals, and in estimating population parameters.

• CLT is essential in making inferences about a population based on sample data.

• For example,...read more

LatentView offers a dynamic work environment with opportunities for growth and learning in the field of analytics.

• LatentView has a strong reputation in the analytics industry for delivering innovative solutions to clients.

• The company values continuous learning and development, providing employees with opportunities to enhance their skills.

• LatentView offers a collaborative work culture where employees can work on diverse projects and learn from experienced professionals.

• The co...read more

Answering questions related to SQL joins, lambda function in Python, and difference between tuples and lists.

• There are four types of joins in SQL: inner join, left join, right join, and full outer join.

• Lambda function is an anonymous function in Python that can take any number of arguments, but can only have one expression.

• Tuples are immutable and ordered collections of elements, while lists are mutable and ordered collections of elements.

• Example of SQL join: SELECT * FROM ta...read more

Random forest decides variables based on feature importance and information gain.

• Random forest calculates feature importance by measuring how much the tree nodes that use a particular feature reduce impurity.

• Variables with higher feature importance are considered more important in making predictions.

• Random forest also uses information gain to decide which variables to split on at each node in the trees.

• The variables that result in the highest information gain are chosen for s...read more

Gini index is a measure of impurity used in decision trees for variable selection.

• Gini index ranges from 0 (pure node) to 0.5 (impure node)

• Variables with lower Gini index are preferred for splitting

• Higher Gini index indicates higher impurity and less predictive power

Implementing logics in a use case study to analyze data and derive insights.

• Identify the problem statement and objectives of the study

• Collect relevant data and clean it for analysis

• Apply statistical and machine learning techniques to derive insights

• Interpret the results and communicate findings to stakeholders