Answer:
The correct answer to the following question will be Group Box.
Explanation:
Group Box:
- A type container that contains many types of controls that are usually related to each other in the form.
- It usually provides the identified grouping for other controls.
- used for the subdivision of the forms.
- Separation of the controls can be done with the help of grouping by group box.
Answer:
The next step to consider is updating the system's network settings
Explanation:
The next step after testing and verifying that the network patch cable and network interface card are working is to update the network settings to recent configurations.
Updating the system's network include settings of network adapter, LAN / Wi-Fi and TCP/IP.
Looking into your network settings is one of steps of effectively troubleshooting a system's network.
Few settings you could update are
1. LAN settings
2. TCP/IP network protocol properties
3. Network adapter settings
4. Internet connection
Effectively, updating the network settings is the next step. Few things to take note of when updating the network settings are
1. Create Standard Configurations for Device Classifications
2. Maintain the Current and Previous Network Configurations
3. Keep Track of Changes
4. Lastly, Document Network Changes
Answer:
True.
Explanation:
An investigator would like to do an internet-based college student survey to gather data regarding their behavior as well as drug use. Even so, specific identifications are still not gathered and IP addresses might be available in the set of data. Damage threat must be assessed both by the magnitude (or severity) and the likelihood (or likelihood) of the hurt.
Idk... just dont trust those pop-ups unless your device is acting weird.
Answer:
from sklearn.datasets import load_iris
import seaborn as sns
import pandas as pd
data = load_iris()
final_data = data.data[:]
final_data = pd.DataFrame(final_data)
final_data.columns = ['SepalLengthCm', 'SepalWidthCm', 'PetalLengthCm', 'PetalWidthCm']
species = data.target[:]
final_data['Species'] = species
sns.pairplot(final_data, hue='Species')
Explanation:
