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posted on 11 Dec 2024
I applied via LinkedIn and was interviewed in Jun 2024. There was 1 interview round.
Preprocessing large/small datasets involves cleaning, transforming, and organizing data to prepare it for analysis.
Remove duplicates and missing values
Normalize or standardize numerical features
Encode categorical variables
Feature scaling
Handling outliers
Dimensionality reduction techniques like PCA
Splitting data into training and testing sets
Market research and media analytics assignment
Coding round 2 questions
posted on 13 Oct 2015
I applied via campus placement at Indian Institute of Technology (IIT), Chennai
posted on 27 Jun 2024
1 problem to be solved
posted on 29 Aug 2015
I applied via campus placement at Indian Institute of Technology (IIT), Chennai
Distribute 50 white and 100 black eggs in one bag and 50 white and 0 black eggs in the other bag.
Distribute the black eggs in one bag and white eggs in the other bag
Ensure that both bags have equal number of white eggs
The bag with black eggs will have a higher probability of getting a black egg
Add minus sign to some numbers in array to make sum zero
Identify the sum of all numbers in the array
If sum is already zero, return the array as is
If sum is positive, add minus sign to one or more positive numbers until sum becomes zero
If sum is negative, add minus sign to one or more negative numbers until sum becomes zero
Print the leftmost element in each level of a binary tree.
Use a queue to traverse the tree level by level.
At each level, print the first node in the queue.
Add the left and right child of the node to the queue if they exist.
Repeat until the queue is empty.
I applied via LinkedIn and was interviewed in Jan 2024. There was 1 interview round.
I would consider incorporating machine learning algorithms to enhance the current model.
Explore using neural networks for more complex patterns
Implement decision trees for better interpretability
Utilize ensemble methods like random forests for improved accuracy
posted on 31 Dec 2024
I applied via Campus Placement and was interviewed before Dec 2023. There were 2 interview rounds.
Multiple puzzles were asked to test aptitude
OOPs concepts refer to Object-Oriented Programming principles like Inheritance, Encapsulation, Polymorphism, and Abstraction.
Inheritance: Allows a class to inherit properties and behavior from another class.
Encapsulation: Bundling data and methods that operate on the data into a single unit.
Polymorphism: Ability to present the same interface for different data types.
Abstraction: Hiding the complex implementation detail
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