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30 mcq's OF coding and 30 mcq's of apti
4 pillars of OOPs are Abstraction, Encapsulation, Inheritance, and Polymorphism. TCP/IP and OSI models are networking models.
Abstraction: Hiding implementation details and showing only necessary information.
Encapsulation: Binding data and functions together and restricting access to them.
Inheritance: Creating new classes from existing ones, inheriting their properties and methods.
Polymorphism: Ability of objects to tak...
Computer Science Fundamentals
The project involves using machine learning algorithms to analyze and make predictions based on data.
Collecting and cleaning data
Selecting appropriate ML algorithms
Training and testing the model
Evaluating the model's performance
Applying the model to new data
Examples: predicting customer churn, detecting fraud, diagnosing diseases
I applied via Campus Placement and was interviewed in Mar 2024. There was 1 interview round.
Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.
Hyperparameters are parameters that are set before the learning process begins.
Hyperparameter tuning involves adjusting hyperparameters to optimize the model's performance.
Common techniques for hyperparameter tuning include grid search, random search, and Bayesian optimization.
Neural networks are trained using algorithms that adjust the weights and biases of the network based on the input data and desired output.
Neural networks are trained using a process called backpropagation, where the error between the predicted output and the actual output is used to adjust the weights and biases of the network.
Training data is fed into the neural network, and the network's output is compared to the des...
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It can be identified when a model performs well on training data but poorly on unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early ...
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Aptitude was quite easy with simple python questions
Asked basic questions on numpy and pandas
I applied via Campus Placement and was interviewed in Sep 2024. There was 1 interview round.
DSA MCQ on Computer Core Subjects
I applied via Campus Placement and was interviewed in Sep 2023. There were 3 interview rounds.
Quite easy, implementation questions were there
Hash maps are data structures that store key-value pairs and provide efficient lookup, insertion, and deletion operations.
Hash maps use a hash function to convert keys into array indices.
Collisions can occur when multiple keys hash to the same index, requiring collision resolution techniques.
Common collision resolution methods include chaining and open addressing.
Hash maps have an average time complexity of O(1) for ba...
I applied via Approached by Company and was interviewed before Apr 2023. There were 3 interview rounds.
Questions regarding JS concepts. JS and React specific rounds, closures, Promises, etc
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