IBM C1000-144 IBM Machine Learning Data Scientist v1 Online Training
IBM C1000-144 Online Training
The questions for C1000-144 were last updated at Feb 20,2025.
- Exam Code: C1000-144
- Exam Name: IBM Machine Learning Data Scientist v1
- Certification Provider: IBM
- Latest update: Feb 20,2025
Question #41
A Logistic Regression algorithm is used to classify images into four categories.
If each image has a 5×5 pixel dimension, what is the the number of weights required (excluding biases) for this model?
- A . 200
- B . 100
- C . 300
- D . 400
Question #42
Which type of plot would best illustrate the distribution of a single continuous variable?
- A . Line plot
- B . Bar chart
- C . Histogram
- D . Scatterplot
Question #43
If you are using Python for data visualization, which library would you select to create a violin plot?
- A . Pandas
- B . Matplotlib
- C . Seaborn
- D . Plotly
Question #44
Which technique is typically used to prevent overfitting in a decision tree classifier?
- A . Increasing the depth of the tree indefinitely
- B . Using a linear kernel instead of a polynomial kernel
- C . Pruning the tree to remove non-significant branches
- D . Applying PCA before training the classifier
Question #45
What should be assessed to gauge progress in collecting data?
- A . The aesthetic appeal of data visualizations.
- B . Compliance with data protection and privacy laws.
- C . Speed of the oldest computer systems.
- D . Number of printers in the office.
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