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I applied via Referral and was interviewed in Aug 2024. There were 3 interview rounds.
You must work through a licensed agent, producer, attorney, manager, or industry executive, as appropriate, who already has a relationship with Netflix.
A factual group discussion is a formal discussion where participants exchange information and facts on a particular topic. The discussion focuses on presenting and analyzing objective data and information rather than subjective opinions or personal experiences.
Done to measure people's attitudes
I applied via Referral and was interviewed in Jun 2024. There were 2 interview rounds.
The assessment consists of a dataset for which we are required to build a machine learning model and submit the results along with code and detailed documentation
Ensemble models are machine learning models that combine multiple individual models to improve predictive performance.
Ensemble models work by aggregating predictions from multiple models to make a final prediction.
Common types of ensemble models include Random Forest, Gradient Boosting, and AdaBoost.
Ensemble models are often more accurate and robust than individual models.
They can reduce overfitting and increase genera...
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, where each subsequent model c...
I applied via Indeed and was interviewed before Jun 2019. There were 4 interview rounds.
I have 3 years of experience working as a Data Analyst in the finance industry.
Analyzed financial data to identify trends and make recommendations
Created reports and dashboards using tools like Tableau and Excel
Collaborated with cross-functional teams to improve data quality and accuracy
Basic aptitude,sql ques
Visualizing the dataset information
I applied via Referral and was interviewed before Mar 2023. There were 3 interview rounds.
50 question with gk and reasoning mcq
I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.
I applied via Campus Placement and was interviewed before Jan 2022. There were 2 interview rounds.
I applied via LinkedIn and was interviewed in Mar 2023. There were 3 interview rounds.
I applied via LinkedIn and was interviewed before Feb 2022. There were 3 interview rounds.
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