Oct 10, 2020Building A Web Application To Handle POST Requests With Python, Flask And LIFX APIIn this post, I will discuss the steps I took to make my own LIFX web application using the Flask web framework. This is a follow up post from last week, but you can download the repo. To recap, we used the Python and the LIFX API to control different…Python6 min read
Published in Python in Plain English·Sep 29, 2020Handling LIFX API Requests with PythonIn this post, I will share how to handle LIFX API Requests with Python — To start, we need to access the LIFX HTTP API documentation. You will need a set of LIFX lights for this to work. All requests require an OAuth 2 access token from your account settings. First we will need to create a global variable to store our access token. …API6 min read
Aug 22, 2020How to Compare 200+ Cryptocurrencies with Open-Source CoinScraper ModuleCompare the top 200 supported assets on Kucoin’s decentralized exchange. Everyone knows that one person, or couple, or teenager, that made millions on Bitcoin. …Python5 min read
Published in Towards Data Science·Aug 15, 2020Unsupervised Learning with Scikit-learn, Spotify API & Tableau PublicIn this post I will use the unsupervised learning algorithm from Scikit-Learn, KMeans, to compare Houston Artists using the Spotify’s Web API. — I will also walk through the OSEMN framework for this machine learning example. The acronym, OSEMN, stands for Obtain, Scrub, Explore, Model, and iNterpret. This is the most common framework for Data Scientists working on machine learning problems. With out further ado, let’s get started.Unsupervised Learning6 min read
Published in Towards Data Science·Aug 8, 2020How to Deploy a Pre-trained Keras Model with OpenCV and FlaskIn this post, I will share how to deploy a pre-trained model to a locally hosted computer with Flask, OpenCV and Keras. I initially deployed this model on PythonAnywhere using Flask, Keras and jquery. …Computer Vision5 min read
Published in Towards Data Science·Jul 25, 2020How to Split a Pickled Model File to Bypass Upload Limits on PythonAnywhereIn this short post, I will share how to split and join a pickled model file using python and the os library to bypass upload limits on PythonAnywhere. — In my last post, “Building a Convolutional Neural Network to Recognize Shaved vs UnShaved Faces”, I ended the article sharing the method I used to save my final trained model with Pickle. “Pickling” is the process whereby a Python object hierarchy is converted into a byte stream, and “unpickling” is…Python3 min read
Published in Towards Data Science·Jun 21, 2020Building a Convolutional Neural Network to Recognize Shaved vs UnShaved FacesA code-along guide to build a CNN model using computer vision and the Keras deep learning API. — In this tutorial, we will use an image dataset created by scrapping free stock photo sites. The image set contains about 2,000 images of individual people labeled as “shaved” or “unshaved”. We will combine computer vision and machine learning to classify images using a Convolutional Neural Network (CNN).Deep Learning11 min read
Published in The Startup·Jun 19, 2020Web Scraping Stock Images Using Google Selenium and PythonA code-along guide to download images from Stock Photo sites using Selenium and Python! This post was inspired by Fabian Bosler’s article Image Scraping with Python. Fabian does a great job explaining web scraping and provides a great boiler plate code for scraping images from Google. For our purposes, we will focus on using selenium in python to download free stock photos from Unsplash. …Web Scraping4 min read
