AB InBev India Interview Questions, Process, and Tips

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Q1. Explain chi square distribution. What are the assumptions involved?
Ans. 
Chi square distribution is a probability distribution used in statistical tests to determine the significance of relationships between categorical variables.
• Chi square distribution is a continuous probability distribution that is used in statistical tests such as the chi square test.

• It is skewed to the right and its shape is determined by the degrees of freedom.

• Assumptions involved in chi square distribution include: r...read more
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Q2. Explain different clustering algorithms
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Clustering algorithms group similar data points together based on certain criteria.
• K-means: partitions data into K clusters based on centroids

• Hierarchical clustering: creates a tree of clusters

• DBSCAN: density-based clustering algorithm

• Mean Shift: shifts centroids to maximize data points within a certain radius

• Gaussian Mixture Models: assumes data points are generated from a mixture of Gaussian distributions
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Q1. Deep dive into clustering and bagging boosting algorithms
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Clustering and bagging boosting algorithms are popular techniques in machine learning for grouping data points and improving model accuracy.
• Clustering algorithms like K-means, DBSCAN, and hierarchical clustering are used to group similar data points together based on certain criteria.

• Bagging algorithms like Random Forest create multiple subsets of the training data and train individual models on each subset, then combi...read more
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Coding question like 2 sum problem and maximum subarray sum

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