Introduction to Machine Learning
Showing 151-163 of 163 answers
With the dataset, you can use the K-Means technique to cluster these individuals according to the precise measurements of various parts
- True Correct
- False
You can add another bar graph to an existing chart in the same way you can add another line chart
- True Correct
- False
You can also get the gradient of the linear regression line using the model object's coef_ property
- True Correct
- False
You can create a new feature matrix made up of all polynomial combinations of the features with a degree less than or equal to the specified degree by using a linear object
- True
- False Correct
You can do this with the head() function if the DataFrame is too long
- True Correct
- False
You can easily visualize the 3D prediction of function since you are aware of the intercept and coefficients of the polynomial multiple regression function
- True
- False Correct
You can include a label in your pie charts, but before you can accomplish it, you must first deal with the pie() function's return values Legend
- True
- False Correct
You can use the iloc indexing method to select a subset of the DataFrame based on specific cell values
- True
- False Correct
You can use the magic function %matplotlib inline to enable scatter plotting, where the plots/graphs will be displayed just below the cell
- True
- False Correct
You can utilize the iloc indexing method to choose a subset of the DataFrame depending on particular values in the cells
- True
- False Correct
You may also load several interesting datasets in Scikitlearn, in addition to the Iris dataset
- True Correct
- False
You will have a very clear idea of the sizes you need to create once the algorithm has been located
- True
- False Correct
Your goal with unsupervised learning is to predict a pattern in the dataset
- True Correct
- False
