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Python has various data types including int, float, str, list, tuple, dict, set, bool, and more.
int - integer numbers (e.g. 5)
float - floating point numbers (e.g. 3.14)
str - strings (e.g. 'hello')
list - ordered collection of items (e.g. [1, 2, 3])
tuple - ordered collection of items that cannot be changed (e.g. (1, 2, 3))
dict - collection of key-value pairs (e.g. {'name': 'John', 'age': 30})
set - unordered collection of...
Various ML algorithms include linear regression, decision trees, random forests, support vector machines, and neural networks.
Linear Regression: Used for predicting continuous values based on input features.
Decision Trees: Tree-like model of decisions used for classification and regression.
Random Forests: Ensemble learning method using multiple decision trees for improved accuracy.
Support Vector Machines: Classify data...
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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 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 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 Company Website and was interviewed in Aug 2023. There were 4 interview rounds.
Coding on the tools we use
I applied via Naukri.com and was interviewed in Jun 2023. There were 3 interview rounds.
I was interviewed in Apr 2023.
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