Answer: Data and Insights
Explanation:
Data and Insights in an enterprise platform is very important as it helps users better understand their customers so that they may be able to offer them the best services.
Data allows the platform to capture the data of the customer and insights then curates and consumes the data for analysis. The result of this analysis will enable the company to better understand the customer so that they might be able to offer preferable products.
Answer:
The answer to this question can be given as:
Statement:
number = int(line.strip())
Explanation:
In the above statement, we declare an integer variable number accept the integer value from the file that name is line. In this line, we use the strip() function. This function returns a duplicate string with both starting and tracking characters removed (based on the string parameter passed). The strip() function removes characters from both sides (left and right) based on the parameter(a string defining the collection of characters to be removed).
Answer:
The five factors to consider when trying to choose between a Solid State Drive, a Hard Disk Drive and, an External Hard Disk Drive are:
- Read/Write Speed
- Weight
- Power Consumption
- Cost
- Storage Capacity
- Solid State Drives (SSDs) are typically lighter in weight, faster and do not consume much power.
- Hard Disk Drives are relatively cheaper than SSDs. They also come with higher storage capacities but are more power-hungry and slower because they rely on mechanical/moving parts to read and write data.
- External HDDs are the cheapest of the three. They are not internal which is a major drawback given the additional weight. However, they come with gargantuan storage capacities that make you want to rethink having one. Besides, unlike SSDs, you can easily get them in computer accessories shops offline or online.
Cheers!
Answer:
b
Explanation:
First, we need to initialize the classifier.
Then, we are required to train the classifier.
The next step is to predict the target.
And finally, we need to evaluate the classifier model.
You will find different algorithms for solving the classification problem. Some of them are like decision tree classification etc.
However, you need to know how these classifier works. And its explained before:
You need to initialize the classifier at first.
All kinds of classifiers in the scikit-learn make use of the method fit(x,y) for fitting the model or the training for the given training set in level y.
The predict(x) returns the y which is the predicted label.And this is prediction.
For evaluating the classifier model- the score(x,y) gives back the certain score for a mentioned test data x as well as the test label y.
<span>BCD only goes from digit 0 (0000) to digit 9 (1001), because for 10 you need two digits, so all you've got to do is make a function that produces high for numbers from 10 (1010) to 15 (1111) as follows:
A3 A2 A1 A0 F
0 0 0 0 0
0 0 0 1 0
0 0 1 0 0
...........................
1 0 0 0 0
1 0 1 0 1
1 0 1 1 1
1 1 0 0 1
1 1 0 1 1
1 1 1 0 1
1 1 1 1 1
Then simplify the function:
F = A3*A2 + A3*A1
Finally just draw or connect the circuit using NAND</span>
