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I applied via Recruitment Consulltant and was interviewed in Dec 2023. There was 1 interview round.
Build a MMX Model for a given dataset and share insights
Preprocess the data by handling missing values and encoding categorical variables
Split the data into training and testing sets
Build the MMX model using appropriate algorithms like decision trees or random forests
Evaluate the model using metrics like accuracy, precision, recall, and F1 score
Interpret the model results to gain insights and make data-driven decisions
Time series analysis can be evaluated by examining the accuracy of forecasts, the model's ability to capture trends and patterns, and the overall performance metrics.
Evaluate forecast accuracy using metrics like Mean Absolute Error (MAE) or Root Mean Squared Error (RMSE)
Assess the model's ability to capture trends and patterns by visualizing the data and comparing it to the model's predictions
Analyze the overall perfor...
posted on 23 Jun 2024
Python and ML questions
I applied via LinkedIn and was interviewed in Sep 2023. There were 2 interview rounds.
XGBoost is preferred over Random Forest due to its faster execution speed and better performance in complex datasets.
XGBoost is faster than Random Forest due to its optimized implementation of gradient boosting algorithm.
XGBoost generally performs better in complex datasets with high-dimensional features.
XGBoost allows for more fine-tuning of hyperparameters compared to Random Forest.
XGBoost has regularization techniqu...
I applied via Naukri.com and was interviewed before May 2023. There was 1 interview round.
posted on 7 Nov 2024
posted on 23 Jun 2024
Python and ML questions
I applied via LinkedIn and was interviewed in Sep 2023. There were 2 interview rounds.
XGBoost is preferred over Random Forest due to its faster execution speed and better performance in complex datasets.
XGBoost is faster than Random Forest due to its optimized implementation of gradient boosting algorithm.
XGBoost generally performs better in complex datasets with high-dimensional features.
XGBoost allows for more fine-tuning of hyperparameters compared to Random Forest.
XGBoost has regularization techniqu...
I applied via Naukri.com and was interviewed before May 2023. There was 1 interview round.
posted on 24 Jul 2023
I applied via Naukri.com and was interviewed before Jul 2022. There were 5 interview rounds.
Hacker Rank python coding test
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