1.Predict sales
2.K-Means,Random Forest etc
3.Performance metric for classifier on imbalanced dataset
4.PCA
5.how to regularize decision tree model
6.activation functions on gradient vanishing
7.Linear regression
8.learn rate/batch size for stabling loss
9.Predict temperature
10.Find smallest divisor
11.Payable amount
12.Improve revenue
13.How to know if a company is competitor
14.Predicting the temperature
15.Testing Encryption Validity
16.Strictly Positive
17.poisson distribution
18.s^2计算分母n-1
19.log-normal distribution
20.normal distribution mu+-3sigma 对应范围
21.improve profitability
22.Effective way to increase production capacity
1. Predict sales
| In this case about pharmaceutical that wants to predict sales. The interviewer will ask you some usual questions such as model, data, features, unit analysis etc.
2. K-Means,Random Forest etc
| K-Means,Random Forest etc
3. Performance metric for classifier on imbalanced dataset
| Performance metric for classifier on imbalanced dataset
5. how to regularize decision tree model
| how to regularize decision tree model
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