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Data processing

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data science, datascience, data-science, ds, career in data science, Programming language for data science, Scope in data science, Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data.

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What is Mobile Application Security Testing?

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How to Become a Data Analyst with No Experience

Learn why many business organizations are located within an environment of tough competition and fulfilling the requirement of their customers.

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Without Analytics, Big Data is Just Noise - Brian Solis

Guest post by Eric Schwartzman, founder and CEO of Comply Socially, which helps employers manage the risk and capitalize on the opportunities of social media in the workplace. Follow him on Twitter @EricSchwartzman The online Boston Marathon bombing witch-hunt last week dragged social media down to a new low. Social media has become “the cocktail party from hell,” writes Maureen Down in her column “…with the flood of information jeopardizing meaning.” When everyone’s talking about a crisis…

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A common problem that is encountered while training machine learning models is imbalanced data. An imbalanced dataset can lead to inaccurate results even when brilliant models are used to process that data. If the data is biased, the results will also be biased, which is the last thing that any of us will want from a machine learning algorithm. Let’s find out what problems an imbalanced dataset can cause and how to handle them. Medical Safety, Economic Crisis, Data Quality, Safety Products, Learning Techniques, Future Tech, Tech Innovation, Case Management, Data Processing

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How to handle Imbalanced Data in Machine Learning

Let’s discuss what problems can be caused by an imbalanced dataset and have a glance at the possible solutions

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