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Python Top Libraries You Need to Create ML Model

Creating a Model of Machine Learning in Python, you need two libraries. One is 'NUMPY' and the other one is 'PANDA'.


For this project, we are using Python Libraries to Create a Model.
What Are Key Libraries You Need I have explained in the below steps. You need Two.
NUMPY - It has the capabilities of CalculationsPANDA - It has the capabilities of Data processing. To Build a model of Machine learning you need the right kind of data. So, to use data for your project, the Data should be refined. Else, it will not give accurate results. Data AnalysisData Pre-processing How to Import Libraries in Pythonimportnumpy as np # linear algebra
importpandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

How to Check NUMPY/Pandas installed After '.' you need to give double underscore on both the sides of version. 
How Many Types of Data You Need You need two types of data. One is data to build a model and the other one is data you need to test the model. Data to build…

IoT real concept for auto insurance

IoT in insurance is a connected car which helps transforming how insurance premiums can be calculated.

With the help of a small wireless device that plugs into the diagnostic port, Metromile offers a “per-mile” usage-based insurance. Often, low-mileage drivers overpay for insurance because they’re subsidizing those who drive the most.

Insurance Calculation

But since the number one risk indicator for drivers is time on the road, Metromile can offer insurance pro-rata by tracking the miles driven.
Mile-based insurance an application of IoT
#Mile-based insurance an application of IoT:
According to wiki: Usage-based insurance (UBI) -also known as pay as you drive (PAYD) and pay how you drive (PHYD) and mile-based auto insurance is a type of vehicle insurance whereby the costs are dependent upon the type of vehicle used, measured against time, distance, behavior, and place.

This differs from traditional insurance, which attempts to differentiate and reward "safe" drivers, giving them lower premiums and/or a no-claims bonus.


However, conventional differentiation is a reflection of history rather than present patterns of behavior.


This means that it may take a long time before safer (or more reckless) patterns of driving and changes in lifestyle feed through into premiums.

Usage of IoT technique - Pay as you drive (PAYD) means that the insurance premium is calculated dynamically, typically according to the amount driven. There are three types of usage-based insurance:
  • Coverage is based on the odometer reading of the vehicle. 
  • Coverage is based on mileage aggregated from GPS data, or the number of minutes the vehicle is being used as recorded by a vehicle-independent module transmitting data via cellphone or RF technology. 
  • Coverage is based on other data collected from the vehicle, including speed and time-of-day information, the historic riskiness of the road, driving actions in addition to distance or time traveled. IoT Beginner to an expert in a nutshell
The formula can be a simple function of the number of miles driven or can vary according to the type of driving or the identity of the driver. Once the basic scheme is in place, it is possible to add further details, such as an extra risk premium if someone drives too long without a break, uses their mobile phone while driving, or travels at an excessive speed.

Telematic usage-based insurance (i.e. the latter two types, in which vehicle information is automatically transmitted to the system) provides a much more immediate feedback loop to the driver, by changing the cost of insurance dynamically with a change of risk. This means drivers have a stronger incentive to adopt safer practices.

For example, if a commuter switches to public transport or to working at home, this immediately reduces the risk of rush hour accidents. With usage-based insurance, this reduction would be immediately reflected in the cost of car insurance for that month. The smartphone as measurement probe for insurance telematics has been surveyed.

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Hyperledger Fabric Real Interview Questions Read Today

I am practicing Hyperledger. This is one of the top listed blockchains. This architecture follows R3 Corda specifications. Sharing the interview questions with you that I have prepared for my interview.

Though Ethereum leads in the real-time applications. The latest Hyperledger version is now ready for production applications. It has now become stable for production applications.
The Hyperledger now backed by IBM. But, it is still an open source. These interview questions help you to read quickly. The below set of interview questions help you like a tutorial on Hyperledger fabric. Hyperledger Fabric Interview Questions1). What are Nodes?
In Hyperledger the communication entities are called Nodes.

2). What are the three different types of Nodes?
- Client Node
- Peer Node
- Order Node
The Client node initiates transactions. The peer node commits the transaction. The order node guarantees the delivery.

3). What is Channel?
A channel in Hyperledger is the subnet of the main blockchain. You c…