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I applied via Approached by Company and was interviewed before Mar 2023. There were 3 interview rounds.
Case Study - Churn Prediction
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
Logistic regression is used when the dependent variable is binary (e.g., 0/1, yes/no).
It estimates the probability that a given input belongs to a certain category.
The output of logistic regression is a probability score between 0 and 1.
It uses the logistic function (sigmoid function) ...
Different types of validation include cross-validation, holdout validation, and leave-one-out validation.
Cross-validation involves splitting the data into multiple subsets and training the model on different combinations of these subsets.
Holdout validation involves splitting the data into a training set and a validation set, and training the model on the training set before evaluating it on the validation set.
Leave-one...
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First Question is basic coding question (Term frequecy of words).
Then a case study.
Basic ML questions.
I applied via Referral and was interviewed before Feb 2023. There was 1 interview round.
Clustering is a technique used in data analysis to group similar data points together based on their characteristics.
Clustering is an unsupervised learning method.
It helps in identifying patterns and relationships in data.
Common clustering algorithms include K-means, hierarchical clustering, and DBSCAN.
Example: Grouping customers based on their purchasing behavior.
Example: Identifying different species of flowers based
To avoid overfitting, use techniques like cross-validation, regularization, and increasing training data.
Use cross-validation to evaluate model performance on unseen data
Apply regularization techniques like L1 or L2 regularization to penalize complex models
Increase the size of the training dataset to provide more diverse examples
Use feature selection or dimensionality reduction methods to reduce the complexity of the m...
Sql and pandas problems along mcqs on ML
Word2vec is a technique used to create word embeddings by training a neural network on a large corpus of text.
Word2vec is a shallow neural network model that learns to represent words as vectors in a continuous vector space.
It captures semantic relationships between words by placing similar words close together in the vector space.
There are two main architectures for Word2vec: Continuous Bag of Words (CBOW) and Skip-gr...
I applied via Referral and was interviewed in Jul 2024. There were 2 interview rounds.
Case study-this is about loan default prediction assignment
I applied via Walk-in and was interviewed in Sep 2023. There were 2 interview rounds.
I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.
It was a basic Aptitude test, Needed to learn Probability, Permutation , Cobination and SQL.
Total Duration 1 Hour.
I applied via LinkedIn and was interviewed before Nov 2023. There were 2 interview rounds.
based on 1 interview
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