Data Mining Process | Data Science | What is Data Mining ? | Data Mining Process Basic
Data preparation.
00:01
This stage involves collecting and cleaning the data, removing duplicates, and handling missing values.
00:09
The data is then transformed and formatted into a suitable form for analysis.
00:14
Data exploration.
00:16
This stage involves exploring the data to identify patterns, relationships and anomalies.
00:23
The goal is to gain a better understanding of the data and to identify potential areas of interest for analysis.
00:31
Model building This stage involves building a model or algorithm to analyze the data.
00:38
This could involve using techniques such as decision trees, regression analysis, clustering or neural networks.
00:46
The goal is to develop a model that accurately represents the data and can be used to make predictions or identify patterns.
00:55
Model evaluation.
00:57
This stage involves evaluating the performance of the model.
01:01
This could involve testing the model on new data, comparing the model to other models, or analyzing the accuracy of the predictions.
01:10
Model deployment.
01:12
This stage involves deploying the model to be used in real world applications.
01:17
This could involve integrating the model into a larger system or making it available to end users through a web-based interface or other application.
01:28
These stages are not necessarily sequential and may be iterative, with the output of one stage feeding into the next.
01:36
Data mining is an iterative process that requires careful planning and execution to ensure that the results are accurate, useful, and actionable.
En esta página del sitio puede ver el video en línea Data Mining Process | Data Science | What is Data Mining ? | Data Mining Process Basic de Duración hora minuto segunda en buena calidad , que subió el usuario data science Consultancy 10 mayo 2023, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 216 veces y le gustó 2 a los espectadores. Disfruta viendo!
