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Deploy Your Machine Learning Application for Free
In this article, we will discuss how to quickly showcase your model publicly as a machine learning application for free.
Access Free Google Cloud GPUs for Deep Learning
In this article, I will discuss a way of accessing Google Cloud GPUs to train your Deep Learning projects.
Converting Casual Bike-share Customers (A Data Analytics Case Study)
Code This case study is my capstone project for the Google Data Analytics Certification offered through Coursera. I was given access to ridership data of a bike sharing company based in Chicago. For the purposes of the project, that company…
Bayesian Network Basics Using Python
However, to make it a little bit more scalable, the tables are defined in a separate Google sheet, and imported into the Google Colab notebook. Each node is a separate worksheet, and the columns list the parent nodes, the name of the node, and probability.
Bayesian Networks Basics Using SamIam
Bayesian Networks are a compact graphical representation of how random variables depend on each other. It can be used to demonstrate the probability of one variable occurring depending on which related variables have been observed. Manual computations of conditional probabilities…
Understanding the Fourier Transform Using Audio and Python
In this article we will break down what the Fourier Transform does to a signal, then we will be using Python to compute and visualize the transforms of different waveforms.