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Abstract-The predictable values that indicate the performance of any company and determine that how well they are performing in order to achieve their objective is referred by the term called as "key performance indicators". The key performance indicator techniques and other methods that are similar to KPI are usually implemented in the businesses that are running online, but for an e-commerce business, it is always difficult to select the right KPI. As long as the KPIs are concerned, the biggest blunder that an online business can make is that they calculate everything along with the KPIs. But whatever they are calculating cannot be referred as the "key" because they are measuring each and everything, so this can immediately become devastating. The need is to only measure certain specific keys in order to calculate the performance of a business. The main aim of this research is to establish the set of standard rules that must be adopted in order to identify the best KPIs for an e-commerce business website based on google analytics and machine learning technique.

Purchasing of real estate property is a stressful and time-consuming activity, regardless of the individual in question is a buyer or seller. The act is also a major financial decision which can lead to numerous consequences if taken hastily. Therefore, it is encouraged that a person should properly invest their time and money in research relating to price demands, property type and location, etc. It can be a difficult task to assess what real estate property can be considered as the best property to buy. The key idea of the current research study is to create a set of standard rules, which should be embraced to make a smart decision of buying real estate property, based on web scraping technology and machine learning techniques.