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I applied via Company Website and was interviewed before Dec 2023. There was 1 interview round.
I was interviewed before Feb 2024.
Predictive modeling project
I applied via Campus Placement
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I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
LSTM is a type of RNN that addresses the vanishing gradient problem by using memory cells.
RNN stands for Recurrent Neural Network, a type of neural network that processes sequential data.
LSTM stands for Long Short-Term Memory, a type of RNN that includes memory cells to retain information over long sequences.
LSTM is designed to overcome the vanishing gradient problem, which occurs when training RNNs on long sequences.
L...
Evaluation matrices are used to assess the performance of models in data science.
Confusion matrix: used to evaluate the performance of classification models.
Precision, recall, and F1 score: measures for binary classification models.
Mean squared error (MSE): evaluates the performance of regression models.
R-squared: assesses the goodness of fit for regression models.
Area under the ROC curve (AUC-ROC): evaluates the perfo...
posted on 29 Nov 2024
I applied via Naukri.com and was interviewed before Nov 2023. There were 4 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company.
Collected and cleaned customer data including usage patterns and demographics
Used classification algorithms like Random Forest and Logistic Regression to build the model
Evaluated model performance using metrics like accuracy, precision, and recall
Math, English, reasoning
Basics and Fundamentals
Seeking new challenges and opportunities for growth in a different environment.
Looking for a more challenging role to further develop skills
Interested in exploring new technologies and methodologies
Seeking a better work-life balance or company culture
Opportunity for career advancement or higher salary
Desire for a change in industry or focus area
posted on 31 Jul 2024
I applied via Job Portal and was interviewed in Jul 2024. There were 2 interview rounds.
Python programming for 45 for minutes
Hyperparameters of SVM include C, kernel, gamma, degree, and coef0.
C: Regularization parameter that controls the trade-off between achieving a low error on the training data and minimizing model complexity.
Kernel: Specifies the type of hyperplane used to separate the data.
Gamma: Kernel coefficient for 'rbf', 'poly', and 'sigmoid' kernels.
Degree: Degree of the polynomial kernel function.
Coef0: Independent term in kernel...
Hyperparameters can be tuned using techniques like grid search, random search, and Bayesian optimization.
Grid search: Exhaustively search through a specified subset of hyperparameters.
Random search: Randomly sample hyperparameter combinations.
Bayesian optimization: Use probabilistic models to predict the performance of different hyperparameter configurations.
I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.
Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.
Context window helps LLMs capture dependencies between words in a sentence.
A larger context window allows the model to consider more context but may lead to increased computational complexity.
For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo
top_k parameter is used to specify the number of top elements to be returned in a result set.
top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.
For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.
In natural language processing tasks, top_k can be used to limit the number of possible next words in a
Regex patterns in Python are sequences of characters that define a search pattern.
Regex patterns are used for pattern matching and searching in strings.
They are created using the 're' module in Python.
Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.
Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.
Iterators are used to loop through elements in a collection, like lists or dictionaries
Tuples are similar to lists but are immutable, meaning their elements cannot be changed
Example of iterator: for item in list: print(item)
Example of tuple: my_tuple = (1, 2, 3)
Yes, I have experience working with REST APIs in various projects.
Developed RESTful APIs using Python Flask framework
Consumed REST APIs in data analysis projects using requests library
Used Postman for testing and debugging REST APIs
based on 2 interviews
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