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Rhutvik Gawade
Rhutvik Gawade

The role of AI in automating data cleaning and transformation


The application of AI to automate the conscientious and tedious tasks of data trimming and data transformation is invaluable because it vastly reduces the effort and time when preparing data for analysis. Typically capturing and cleaning datasets can entail time-consuming, manual, and frequent repetitive steps: such as treating missing values, removing duplicates, ensuring consistent data types, and normalizing the formats of strings and date types of values. With AI-driven solutions, data cleaning and transformation processes are much easier, as there are algorithms continuously probing the data for errors, inconsistencies, and standardizations of value formats. If people can enroll themselves in an Artificial Intelligence Course in Pune, they can learn how the models based on machine learning and natural language processing architectures can be utilized to automate the still-essential operations of data cleaning, data trimming, and the related preprocessing steps that can all be reasonably established workflows.

 

 

 

 

 

Beyond the data cleaning process, using AI will also enhance data transformation processes, such as automatically establishing your new features from external data, or using AI for mapping unstructured data into structured formats, along with applying transformation plans that rely on the context of your situation and past experience. This will improve the overall quality of your data as well as the quality, accuracy, and performance of your downstream analytics, reporting and potentially your machine learning prediction models. Since AI-driven automation can employ different types of input data - including text, image files, and measurements from sensors - there is broad applicability to all disciplines and industries. By taking and completing Artificial Intelligence Training in Pune, participants will learn to carry out hands-on activities and all the necessary tools and frameworks to automate their cleaning and transformation workflows, while simultaneously developing data pipelines to improve the speed, accuracy and scalability of any downstream analytics, reporting and development of new and advanced AI applications.


Artificial Intelligence Classes in Pune

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