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I applied via Referral and was interviewed before Dec 2021. There was 1 interview round.
Linear Regression predicts continuous values while Logistic Regression predicts binary outcomes.
Linear Regression is used for predicting continuous values while Logistic Regression is used for predicting binary outcomes.
Linear Regression uses a linear approach to model the relationship between dependent and independent variables while Logistic Regression uses a logistic function to model the probability of a binary out...
I applied via LinkedIn and was interviewed in Mar 2021. There was 1 interview round.
R2 and adj R2 are statistical measures used to evaluate the goodness of fit of a regression model.
R2 measures the proportion of variance in the dependent variable that is explained by the independent variable(s).
Adjusted R2 is a modified version of R2 that takes into account the number of independent variables in the model.
R2 ranges from 0 to 1, with higher values indicating a better fit.
Adjusted R2 can be negative if ...
I rate myself 8/10 in Python. I have experience in data manipulation, visualization, and machine learning.
Proficient in Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn
Experience in data cleaning, preprocessing, and feature engineering
Developed machine learning models for classification, regression, and clustering
Familiar with deep learning frameworks such as TensorFlow and Keras
Implemented neural n...
Logit regression is a statistical method used to model binary outcomes.
Logit regression is used when the dependent variable is binary (0 or 1).
It models the probability of the dependent variable taking the value 1.
It uses the logistic function to transform the linear regression equation into a probability.
It is a type of generalized linear model (GLM).
Validation of a model involves testing its performance on new data to ensure its accuracy and generalizability.
Split data into training and testing sets
Train model on training set
Test model on testing set
Evaluate model performance using metrics such as accuracy, precision, recall, and F1 score
Repeat process with different validation techniques such as cross-validation or bootstrapping
Model optimization is the process of improving the performance of a machine learning model by adjusting its parameters.
Model optimization involves finding the best set of hyperparameters for a given model.
It can be done using techniques like grid search, random search, and Bayesian optimization.
The goal is to improve the model's accuracy, precision, recall, or other performance metrics.
Model optimization is an iterativ...
Code for parsing a triangle
Use a loop to iterate through each line of the triangle
Split each line into an array of numbers
Store the parsed numbers in a 2D array or a list of lists
The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.
ASCII values range from 65 to 90 for capital letters A to Z.
ASCII values range from 97 to 122 for small letters a to z.
For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.
I appeared for an interview before Jul 2021.
Bagging and boosting are ensemble techniques used to improve the accuracy of machine learning models.
Bagging involves training multiple models on different subsets of the training data and then combining their predictions through voting or averaging.
Boosting involves iteratively training models on the same data, with each subsequent model focusing on the samples that the previous models misclassified.
Bagging reduces va...
I applied via Naukri.com and was interviewed before Jul 2021. There were 3 interview rounds.
Diffie-Hellman algorithm is a key exchange protocol used to securely exchange cryptographic keys over a public channel.
It is based on the concept of discrete logarithm problem.
It involves two parties, Alice and Bob, who generate their own private and public keys.
The public keys are exchanged and used to generate a shared secret key.
The shared secret key is used for encryption and decryption of messages.
It is widely use...
I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.
I applied via Job Portal and was interviewed before Jan 2021. There was 1 interview round.
posted on 29 Mar 2022
I applied via Naukri.com and was interviewed in Mar 2022. There were 2 interview rounds.
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