Sam DedesCategorical Features: When to drop a column while OneHotEncodingThis article gives an explanation for dropping a column while OneHotEncoding. The intended audience is familiar with programming in python…3 min read·Mar 14, 2021----
Sam DedesGuide to Linear Regressions in PythonThis article outlines the essentials to define a linear regression in python using numpy.3 min read·Mar 6, 2021----
Sam DedesCreating a Pipeline with SklearnThis article is a brief overview of what a data pipeline is, why it is useful, and how to create one for a classification model. The…3 min read·Feb 28, 2021----
Sam DedesCreating GIFs from MRI Scans (nii.gz)This article is intended for those proficient in Python with image data in the neuroimaging data format nii.gz looking to convert into an…4 min read·Feb 21, 2021----
Sam DedesExploring Matplotlib’s ColormapsThis article explores the various colormaps Matplotlib provides, it is intended for readers proficient in Python with exposure to…5 min read·Feb 12, 2021----
Sam DedesData Science 101: Creating the Perfect Confusion MatrixThis article outlines the Python code to create a confusion matrix visualization function and explores the different colormaps available…4 min read·Feb 7, 2021----
Sam DedesConfusion Matrix: Friend or Foe?This article describes the process of understanding confusion matrix in the context of data science model analysis.4 min read·Jan 31, 2021----
Sam DedesA Simple Guide to Linear Regressions with Polynomial FeaturesAs a data scientist, machine learning is a fundamental tool for data analysis. There are two broad classifications for machine learning…7 min read·Jan 28, 2021----
Sam DedesGUIs in Python: TkinterThis article provides a general overview of the use and purpose of Tkinter.3 min read·Jan 27, 2021----
Sam DedesTo sklearn, or to not sklearn?This article is a friendly overview of this paper on scikit-learn published in volume 12 of the Journal of Machine Learning Research…4 min read·Dec 12, 2020----