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Random forest is an ensemble learning method used for classification and regression tasks.
Random forest is a collection of decision trees that are trained on random subsets of the data.
Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.
Random forest is robust to overfitting and noisy data, and can handle large datasets wi...
Lasso is a feature selection technique that penalizes the absolute size of the regression coefficients.
Lasso stands for Least Absolute Shrinkage and Selection Operator
It adds a penalty term to the regression equation, forcing some coefficients to be exactly zero
Helps in selecting the most important features and reducing overfitting
Useful when dealing with high-dimensional data
Example: In a dataset with multiple feature...
I address low performance by identifying root causes, providing feedback and support, setting clear expectations, and offering opportunities for improvement.
Identify the root causes of low performance through performance evaluations and feedback.
Provide constructive feedback and support to help the individual improve.
Set clear expectations and goals for performance improvement.
Offer training, resources, and opportuniti...
I had to navigate a conflict between two team members with opposing views on a project deadline.
Listen to both sides to understand their perspectives
Facilitate a discussion to find common ground
Encourage open communication and compromise
Seek input from other team members or supervisors if needed
What people are saying about Tiger Analytics
I applied via Company Website and was interviewed in Jul 2024. There were 2 interview rounds.
Tiger Analytics interview questions for popular designations
I applied via LinkedIn and was interviewed in Oct 2024. There was 1 interview round.
Get interview-ready with Top Tiger Analytics Interview Questions
I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.
The architecture diagram of deployments in production showcases the flow of models from training to deployment.
The diagram typically includes components such as data storage, model training, model serving, and monitoring.
It shows how data flows through the system, how models are trained and tested, and how they are deployed for inference.
Common tools used in MLOps architecture include Kubernetes for orchestration, Dock...
Find the longest substring without repeating characters
Use a sliding window approach to track the longest substring without repeating characters
Keep track of the characters seen so far and their positions in a hashmap
Update the start of the window when a repeating character is encountered
SQL, Python and Apti ques
Seeking new challenges and growth opportunities in a different environment.
Looking for new challenges to enhance my skills and knowledge
Seeking growth opportunities that align with my career goals
Interested in exploring different work environments and cultures
I applied via Recruitment Consulltant and was interviewed in Oct 2024. There was 1 interview round.
I applied via Recruitment Consulltant and was interviewed in Feb 2024. There were 3 interview rounds.
Totally irrelevant to the role and to my experience.
Pyspark joining strategies, coding, and Python-based problem-solving techniques.
Some of the top questions asked at the Tiger Analytics interview -
The duration of Tiger Analytics interview process can vary, but typically it takes about less than 2 weeks to complete.
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Interview experience
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Hyderabad / Secunderabad,
Chennai
+17-9 Yrs
Not Disclosed
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