Post by account_disabled on Nov 23, 2023 14:04:53 GMT 8
NOTE All ML models are customizable. For example, we can set the percentile of the tested sample, the sensitivity of the model, or the preceding period needed to train the model. Data mining Data mining is a breakthrough functionality in Google Analytics. It clearly shows us that Google recognizes the need to conduct advanced analyzes known from data science. These skills have previously been expensive and unavailable to most companies. This type of data analytics was only available to specialists with advanced technical knowledge and programming skills in R or Python. Google in GA changes these assumptions by providing us with easytouse – Data Mining.
Data mining in GA is a tool that allows you to analyze and discover hidden patterns, relationships and valuable information in data. It allows you to dig out information hidden in the data. We can do it manually, using readymade templates and models, without the need to cooperate Email Marketing List with data scientists. We can compare the work of exploration to processes known from data mining, which involves extracting valuable data and knowledge from large sets of information. Of course, in some cases we cannot avoid advanced analysis in Python, but these types of functions are very pleasing and develop possibilities in the analysis and interpretation of data.
Types of data mining in Google Analytics GA aims to democratize the work of data scientists to enable every user, regardless of their level of advancement, to benefit from the potential of data analysis. Thanks to data mining in GA , people without advanced technical knowledge and programming skills can use available functions to analyze, visualize and report data. GA is the first analytical platform that offers such extensive data mining analysis capabilities without the need to write even a single line of code.
Data mining in GA is a tool that allows you to analyze and discover hidden patterns, relationships and valuable information in data. It allows you to dig out information hidden in the data. We can do it manually, using readymade templates and models, without the need to cooperate Email Marketing List with data scientists. We can compare the work of exploration to processes known from data mining, which involves extracting valuable data and knowledge from large sets of information. Of course, in some cases we cannot avoid advanced analysis in Python, but these types of functions are very pleasing and develop possibilities in the analysis and interpretation of data.
Types of data mining in Google Analytics GA aims to democratize the work of data scientists to enable every user, regardless of their level of advancement, to benefit from the potential of data analysis. Thanks to data mining in GA , people without advanced technical knowledge and programming skills can use available functions to analyze, visualize and report data. GA is the first analytical platform that offers such extensive data mining analysis capabilities without the need to write even a single line of code.