Holcim Interview Questions, Process, and Tips

Q1. How does XGBoost work? How does clustering work?
Ans. 
XGBoost is a popular machine learning algorithm that uses gradient boosting to improve prediction accuracy.
• XGBoost stands for eXtreme Gradient Boosting.

• It is an ensemble learning method that builds a series of decision trees to make predictions.

• XGBoost uses gradient boosting to minimize errors by adding new models that complement the existing ones.

• It is known for its speed and performance in competitions like Kaggle.

• XG...read more
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Q2. How does XGBoost work
Ans. 
XGBoost is a popular machine learning algorithm that uses gradient boosting to improve model performance.
• XGBoost stands for eXtreme Gradient Boosting

• It is an ensemble learning method that builds multiple decision trees sequentially

• Each tree corrects errors made by the previous one, leading to a more accurate model

• XGBoost is known for its speed and performance in competitions like Kaggle

• It can handle missing data and is
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Q3. How does clustering work
Ans. 
Clustering is a technique used to group similar data points together based on certain characteristics.
• Clustering involves partitioning a set of data points into groups, or clusters, where points in the same cluster are more similar to each other than to those in other clusters.

• Common clustering algorithms include K-means, hierarchical clustering, and DBSCAN.

• Clustering is an unsupervised learning technique, meaning the ...read more
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Q4. Tell me about hypothesis testing
Ans. 
Hypothesis testing is a statistical method used to make inferences about a population based on sample data.
• Hypothesis testing involves formulating a null hypothesis and an alternative hypothesis.

• The null hypothesis assumes that there is no significant difference or relationship, while the alternative hypothesis suggests otherwise.

• Statistical tests are then conducted to determine the likelihood of observing the data if ...read more
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Q1. General Questions
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Q1. Basic about qualification and experience
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Q2. Basic accounting questions
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Questions from Logical Reasons, Quantitative Aptitude.

Q1. NIT Raipur: B. Tech. in Mining Engineering Introduce yourself. Have you ever visited any mine? In your project on Risk Assessment, what did you do? Tell me about the project in brief. Why did you choo...read more
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Q1. Can you give a sample Process Flow for Procure to Pay Cycle?
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Q2. What is 2 way match and 3 way match in SAP?
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Q3. What is Input & output in GST?
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Q1. What is PO and non PO?
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Q1. What are your salary expectations?
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Q2. What is your family background?
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Q3. What do you know about our company?"
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