Blog

Cross-validation

Cross-validation

We have a simple tip for today to help evaluate models and avoid overfit. Start by separating your data into two sets. These will be the training seat and testing. The next step is to engage in cross-validation to analyze numerical data without over-fitting. This...

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Interactive debugger

Interactive debugger

Looking for an easier way to find and eliminate errors in Jupyter? Don't forget about the interactive debugger. If you're running the code cell and get an exception, type %debug in a new line and run it. This will open an interactive debugging environment that takes...

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Using the .Plot() Function

Did you know that Pandas has a built-in .plot() function as part of the DataFrame class? The trouble is that the visualizations rendered this way are not interactive. The solution: make use of Cufflinks library. This library can help bring together the power of Plotly...

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A New Day Will Dawn: It’s Time to Update and Optimize

A New Day Will Dawn: It’s Time to Update and Optimize

The past few weeks have turned a slow waltz through the economic prosperity of early 2020 to a frenetic, improvised tap dance for many American businesses and other global businesses. Due to the social distancing measures enacted to slow the spread of COVID-19,...

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5 Easy Ways to Make the Most of Your Business Data

Businesses in every industry and of all sizes collect data: client orders, delivery schedules, financial information, inventory records, and countless other categories. Here are five easy ways for business owners to make the most of this data.

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