Text = “ I really like owls. Did you know that an owls eyes are more than twice as big as the eyes of other birds of comparable weight? And that when an owl partially closes its eyes during the day, it is just blocking out light? Sometimes I wish I could be an owl.
word = ‘owl’
texts = text.lower()
owlist = list(texts.split())
count = text.count(word)
num = [owlist, count] #num has no meaning just random var
print(num)
Alter in anyway you want so that you can succeed. ✌
Answer:
microsoft windows, macOS, and linux
Explanation:
if you need help let me know
For copyright<span> purposes, there is a difference between </span>MUSICAL<span> COMPOSITIONS and SOUND RECORDINGS. A </span>Musical Composition<span> consists of </span>music<span>, including any accompanying words, and is normally registered as a work of performing arts. The author of a </span>musical composition<span> is generally the composer and the lyricist, if any.</span>
Answer:
Basically computer does 5 basic operations that are input, output, process,storing and controlling. Input is basically taking data from the user, processing is transferring that data into useful information, then that information needs to be stored and controlled and finally output is give to user.
Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
<em>Hope this helps!</em>
