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Motilal Oswal Financial Services
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I was interviewed in Jul 2022.
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posted on 14 Jun 2024
I applied via Referral 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.
Collect data on the variables of interest
Plot the data to visualize the relationship between the variables
Choose a suitable linear regression model (simple or multiple)
Fit the model to the data using a regression algorithm (e.g. least squares)
Evaluate the model's performance using ...
Linear Regression minimizes noise by fitting a line that best represents the relationship between variables.
Linear Regression minimizes the sum of squared errors between the actual data points and the predicted values on the line.
It assumes that the noise in the data is normally distributed with a mean of zero.
Outliers in the data can significantly impact the regression line and its accuracy.
Regularization techniques l...
Use linear algebra to solve for coefficients in two equations.
Set up the two equations with unknown coefficients
Solve the equations simultaneously using methods like substitution or elimination
Example: 2x + 3y = 10 and 4x - y = 5, solve for x and y
posted on 6 Jan 2025
SQL & aptitude question
1 coding question for 45 min
Python coding question and ML question
I applied via Campus Placement
Account receivables refer to the money owed to a company by its customers for goods or services provided on credit.
Account receivables are assets on a company's balance sheet.
They represent the amount of money owed to the company by customers.
Companies often have terms for when payments are due, such as net 30 or net 60.
Monitoring and managing account receivables is important for cash flow management.
Example: Company A...
I applied via Recruitment Consulltant and was interviewed before May 2023. There were 2 interview rounds.
Machine learning algorithms are used to analyze data and make predictions or decisions without being explicitly programmed.
Machine learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Examples of machine learning algorithms include linear regression, decision trees, support vector machines, and neural networks.
These algorithms learn from data to improve their performance over...
I applied via Recruitment Consulltant and was interviewed before Sep 2021. There were 2 interview rounds.
I was asked Python, sql, coding questions
Case study on how would you identify the total number of footfall on a airport
General Aptitude tests, Basic ML questions
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