Using Deep Learning there is a vast amount of amazing things we can acheive. One of them being creating a model to classify images.
Using CNN (convolutional neural networks) we can analyze images and train models to understand and classify those images.
In this post I am going to go …
Welcome back for another exciting blog post!
Today's topic that we will be covered is the Python package: Pil/Pillow.
Before we get started a quick note:
PIL/Pillow are basically the same exact package with Pillow being the module that took over. They operate using the same exact add …
In today's blog we will be covering the topic of jinja2!
jinja2 is a text-based templating langauge created for Python developers to generate a variety of different markup formats with one of the most popular one being HTML.
In this blog post we are …
LabelBinarizer and get_dummies are two features of Scikit-Learn/Pandas that are extremely crucial when it comes to transforming data for the purpose of train-test split (creating models and testing them). Like everything, they both come with their own set of pros and cons in terms of when it is appropriate …
Data Science.
Data.
It's right there in the name.
Using the Python programming language and it's many libraries, Data Scientists can complete a veriety of different tasks. One of the main tasks of a Data Scientist is to work with 'data' and figure out how to use it to their …