In my last blog, I began to discuss Linear Regression using weight/height data. Linear Regressions are among the simplest of models to learn and consequently are usually the first to be taught in a curriculum of machine learning. Because of it’s simplicity, regression analysis has a wide variety of applications…

I’ll start to discuss linear regression today by building a simple regression model. In the subsequent blog, We’ll unpack some of the results for a better understanding of what linear regressions are and how we can interpret the data.

Regressions are a way to model the relationship between features of…

You won’t always have GPS coordinates in your data set. A frequent use case might be that you have a list of addresses that correspond to other features of interest. Imagine having a list of crime locations, or addresses of people infected with COVID or rental vacancies. In order to…

If you are ever working with geographic data, you’ll find an awesome tool for visualization in the Folium library. Here we’ll demonstrate how to graph geographic locations in python from Jupyter Notebook.

First, open your Jupyter Notebook and install folium.

!pip install folium

In my previous blog, I discussed a number of places you can find data for various research projects. However, there are times where the data you need may not be easy to come by. In such cases, you can generate data. Here I will review a number of ways you…

There are countless sources where one might obtain data. All of our devices and anything connected to those devices are sources of data. When employed as a data scientist, your employer may specify data sources that you are to use but oftentimes, you will have leeway to choose your sources…

(Draft- Needs substantial editing and additional materials)

The actual program consisted of six modules of which the first module covered basic Python programming and was roughly parallel to what we had already been working on in the free online platform.

Right off the bat we were thrown into this environment…

raphael krantz

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