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Tiger Analytics
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I applied via Approached by Company and was interviewed before Sep 2022. There were 3 interview rounds.
Ridge and Lasso regression are both regularization techniques used in linear regression to prevent overfitting.
Ridge regression adds a penalty equivalent to the square of the magnitude of coefficients, while Lasso regression adds a penalty equivalent to the absolute value of the magnitude of coefficients.
Ridge regression shrinks the coefficients towards zero but never exactly to zero, while Lasso regression can shrink ...
Boosting focuses on improving the performance of weak learners sequentially, while bagging uses parallel ensemble learning with bootstrapping.
Boosting combines multiple weak learners to create a strong learner by giving more weight to misclassified instances in each iteration.
Bagging creates multiple subsets of the training data through bootstrapping and trains each subset independently to reduce variance.
Examples: Ada...
I applied via Naukri.com and was interviewed in Aug 2024. There were 3 interview rounds.
Python Coding Questions with
Bubble sort example Question using python
Previous projects based questions
I applied via Approached by Company and was interviewed in Jan 2024. There was 1 interview round.
The test consisted 1 programming question, 2 SQL questions, 2 Python questions, and 10 ML questions. The difficulty level was from easy to medium range. However, the platform was very slow and it was a timed test. They should either conduct the test in a friendly platform or increase the time allotted for each section.
What people are saying about Tiger Analytics
I applied via Approached by Company and was interviewed in Feb 2023. There were 4 interview rounds.
Basic coding questions related to data science
Imbalanced data in text analytics can be handled by techniques like oversampling, undersampling, and SMOTE.
Use oversampling to increase the number of instances in the minority class
Use undersampling to decrease the number of instances in the majority class
Use SMOTE to generate synthetic samples for the minority class
Use cost-sensitive learning algorithms to assign higher misclassification costs to the minority class
Use...
Tiger Analytics interview questions for designations
posted on 23 Sep 2024
I applied via Naukri.com
AWS and Python, basic Machine learning questions
Python, project description, AWS, in build package
Basic Machine learning data science
I applied via Recruitment Consulltant and was interviewed in Nov 2023. There was 1 interview round.
Transformers are models used in natural language processing tasks, known for their ability to handle long-range dependencies.
Transformers use self-attention mechanism to weigh the importance of different words in a sentence.
They consist of encoder and decoder layers, with each layer containing multi-head attention and feed-forward neural network.
Examples of transformer models include BERT, GPT-3, and TransformerXL.
Use techniques like oversampling, undersampling, SMOTE, or ensemble methods to train a model with imbalanced data.
Use oversampling to increase the number of minority class samples.
Use undersampling to decrease the number of majority class samples.
Use Synthetic Minority Over-sampling Technique (SMOTE) to generate synthetic samples for the minority class.
Utilize ensemble methods like Random Forest or Gradient Boosting to
I applied via campus placement at Thapar Institute of Engineering and Technology (TIET) and was interviewed before Sep 2023. There were 2 interview rounds.
3 coding questions of data structures
I have 5 years of experience in data analysis, machine learning, and statistical modeling. Proficient in Python, R, SQL, and Tableau.
5 years of experience in data analysis, machine learning, and statistical modeling
Proficient in Python, R, SQL, and Tableau
Developed predictive models for customer churn prediction using machine learning algorithms
Performed data cleaning, preprocessing, and visualization for large dataset...
There are approximately 2.5 million flights in India annually.
India is one of the fastest growing aviation markets in the world.
Major airports like Delhi, Mumbai, Bangalore, and Chennai handle a large number of flights daily.
Airlines like IndiGo, SpiceJet, and Air India operate numerous domestic and international flights.
The number of flights has been increasing steadily over the years due to growing demand for air tra
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 3 interview rounds.
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