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Databricks Certified Professional Data Scientist Exam
- Topic 1: A intermediate understanding of the steps in the machine learning lifecycle/ Model training, selection, and production A complete understanding of the basics of machine learning/ in-sample vs. out-of sample data
- Topic 2: Applied statistics concepts/ bias-variance tradeoff
- Topic 3: A complete understanding of basic machine learning algorithms and techniques/ Unsupervised techniniques like K-means and PCA
- Topic 4: A complete understanding of the basics of machine learning model management/ Linear, logistic, and regularized regression
- Topic 5: Tree-based models like decision trees, random forest and gradient boosted trees/ Categories of machine learning
- Topic 6: Specific algorithms like ALS for recommendation and isolation forests for outlier detection/ Logging and model organization with MLflow
Free Databricks Databricks Certified Professional Data Scientist Exam Exam Actual Questions
Note: Premium Questions for Databricks Certified Professional Data Scientist Exam were last updated On May. 10, 2024 (see below)
You are working on a email spam filtering assignment, while working on this you find there is new word e.g. HadoopExam comes in email, and in your solutions you never come across this word before, hence probability of this words is coming in either email could be zero. So which of the following algorithm can help you to avoid zero probability?
Refer to the exhibit.
You are building a decision tree. In this exhibit, four variables are listed with their respective values of info-gain.
Based on this information, on which attribute would you expect the next split to be in the decision tree?
In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?
Suppose there are three events then which formula must always be equal to P(E1|E2,E3)?
In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?
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