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Python 101
For a data scientist, learning to code is crucial. There are quite a few programming languages out there and knowing which one to start with can seem overwhelming for a beginner. I suggest you start with Python. Python is one of the most popular programming languages used in data analysis, machine learning, and AI. Python
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From Dance to Data and the Struggles of Starting Over
Print(“Hello, World”). As this is my first post, let me introduce myself. Hi, I’m Emmi! I am a former dance studio owner who is starting over in the field of data science. Perhaps you stumbled upon this blog because you too are interested in getting into data science! If so, welcome, you are not alone!
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Wrangling Data: Why I’m Moving Transformations Out of Power BI
I’ve been working on a project recently that involves building out reports and dashboards in Power BI. The current setup pulls all of the data from a class management system directly into Power BI. At first, this seemed like the best setup because it was simple and cost saving; however, I soon realized that although
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How to Organize Your Projects on GitHub
While this post is mainly for my beginner friends, I’m sure there are some tips that anyone can use! Hello again, everyone! So you’ve been learning some coding and maybe even machine learning and now you are ready to put your knowledge into action! Projects are excellent ways to develop and solidify new skills, as
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The More Complex the Model, the Worse the Prediction: Overfitting in Machine Learning
The post discusses the common mistake of creating overly complex machine learning models that lead to overfitting. It explains the delicate balance of model complexity, the problem of overfitting, and strategies to combat it, such as simplifying the model, regularization, cross-validation, and pruning trees. It also provides examples of applying these techniques. Ultimately, it emphasizes…
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Understanding Neural Networks
The field of data science is vast, and there are many excellent machine learning tools to utilize. If, like myself, you’re fairly new to data science, all of the modeling options can seem overwhelming. But not to worry, the more projects you create, the more models you will use, and the more excited you will
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The Data Technologist 