"Airflow is a platform to programmatically author, schedule and monitor workflows. Use Airflow to author workflows as Directed Acyclic Graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a …

Satellite Imagery can be very powerful, they can be used to model several interesting phenomena including changes in ice cover, forest cover, urban populations, changes in air quality, etc. Relief efforts during disasters like floods can also be directed by comparing satellite images before and during the event. Some companies …

I was introduced to tennis when I was very young by my grandfather and have distinct memories of watching Sampras, Agassi, and Hingis. While I no longer avidly follow the sport, I wanted to use a neural network to predict tennis matches and see how it performs when compared with …

Autoencoders are a type of artificial neural network that can be used to compress and decompress data. Being a neural network, it has the ability to learn automatically and can be used on any kind of input data. As opposed to say JPEG which can only be used on images …

We will use pymc3 to simulate a season of the English Premier League. The models are based on the work of Baio and Blangiardo. We are using data from the 2018-2019 season gathered from Wikipedia. In addition to this, each team was given an unique numeric identifier such as 0 …

Several machine learning classification techniques tend to perform poorly on datasets where the target class (the minority class) represents a small fraction of the overall data. However, sometimes it is the minority class that we are interested in. Examples include medical applications in which we try to predict the occurrence …

Polynomial Features, which is a part of sklearn.preprocessing, allows us to feed interactions between input features to our model. It also allows us to generate higher order versions of our input features. This functionality helps us explore non-linear relationships such as income with age. It also helps us explore …

Minkowski distance is a generalized version of the distance calculations we are accustomed to. It can be defined as: Euclidean & Manhattan distance: Manhattan distances are the sum of absolute differences between the Cartesian coordinates of the points in question. Manhattan distances can be thought of as the sum of the …

Introduced by Lothar Collatz in 1937, the conjecture can be defined as: start with any positive integer, if it is even divide it by two. If it is odd, triple it and add one. Now repeat this procedure to generate a sequence. The great unsolved question in mathematics is to …

OpenCV or Open source computer vision is a popular image processing library. Originally developed 20 years ago by Intel, it has found widespread adoption in computer vision applications and has over 18 million downloads. Here we explore the effects of OpenCV thresholding on historical artworks. Thresholding is exactly what it …