Photo by Tim Mossholder on Unsplash By Travis Wolf The goal of completing a machine learning model lifecycle is to deploy and maintain a working pipeline of data. As more companies look to implement ML models to optimize data-driven functions, being able to deliver and maintain these models will require a web framework that can…
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“Futuristic research from International Data Corporation (IDC) indicates by 2022 organizations will devote approximately $1.97 trillion to enable Digital Transformation” Introduction Technology is continuously evolving, and with every new turn, results in the consumption of large amounts of data. Researches from firms such as IBM show we create approximately 2.5 quintillion bytes of data per…
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*Stationary, Auto-correlation, Differencing Accurately forecasting costs, sales, user growth, patient readmission, etc is an important step to providing directors actionable information. This can be difficult to model by hand or in Excel. In addition, using traditional methods like moving averages might not provide enough insight into the various trends and seasonality that occur in real…
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We hope you have enjoyed both previous parts(part 1, part 2) of this intro to data analysis and data science. In the next few sections we will be looking at different data sets, asking questions and posing possible stopping points where you can try to think about what you might do or conclude from the data…
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Data analysis is part of any data scientists daily work (along with data munging and cleansing). It is also very important for a good portion of everyone else in the modern workforce. This could be a systems analysts, business owners, financial teams, and project managers. However, most undergrad courses do not (or at the very…
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If you have worked with financial or accounting data, then you know that a $10 discrepancy today can become a $100,000 tomorrow. An error in a data storage system or business intelligence report might seem small at first. It can be tempting for analysts to ignore it, or fudge the numbers for the month. Maybe…
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