The Ultimate Guide on How to Develop Machine Learning Applications for Business Success

In the modern business landscape, most enterprises depend on machine learning (ML) applications to understand potential sources of revenue, recognize market trends, anticipate customer behavior, forecast pricing fluctuations, and ultimately, make informed business decisions. The development of these ML applications necessitates meticulous planning and a structured approach. The major steps in this process include defining the problem, cleaning, and preparing the data, engaging in feature engineering, conducting model training, and continually refining the model's accuracy.

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Anand Borad

Anand Borad works as senior marketing executive and takes care of digital and content marketing efforts for Medical devices, Connected Retail & Healthcare and New product development initiatives. He enjoys learning newer technologies and adopting it into everyday marketing practices.

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