Difficulty level 3 of 5: Intermediate
The aim is to produce a plot like this. The orange line is your data, the green line is the upper "bollinger" band, the blue line is the lower "bollinger" band. The red dots indicate where your data is either…
I’m interested in object detection and other computer vision tasks. For example, I’m working on a teddy-bear detector with my son. So, how do you quickly download images for a certain category? You can use this approach that I learned…
Cosine similarity is the normalised dot product between two vectors. I guess it is called “cosine” similarity because the dot product is the product of Euclidean magnitudes of the two vectors and the cosine of the angle between them. If…
Here is how to sample from a softmax probability vector at different temperatures. import numpy as np import matplotlib.pyplot as plt import matplotlib as mpl import seaborn as sns mpl.rcParams[‘figure.dpi’]= 144 trials = 1000 softmax = [0.1, 0.3, 0.6] def…
Here is the code: %matplotlib inline import geopandas as gpd import matplotlib as mpl # make rcParams available (optional) mpl.rcParams[‘figure.dpi’]= 144 # increase dpi (optional) world = gpd.read_file(gpd.datasets.get_path(“naturalearth_lowres”)) world = world[world.name != ‘Antarctica’] # remove Antarctica (optional) world[‘gdp_per_person’] = world.gdp_md_est…
Datasets: Urban morphological zones 2000 (EU): Population count (World): Administrative regions (World): The map is European since the “urban” data from the European Environmental Agency (EEA) only covers Europe. Caveats The UMZ data ended up in PostGIS…
The GADM database contains geographical data for administrative regions, e.g. countries, regions and municipalities. As always, once you have the data in the right format, it is easy to import it into a database. The data is available from GADM…
I like to dabble with machine learning and specifically neural networks. However, I don’t like to wait for exorbitant amounts of time. Since my laptop does not have a graphics card that is supported by the neural network frameworks I…
This guide outlines my first (and failed) attempt at mining Ether on AWS. I will first show how I set up a GPU instance to mine Ether. Then I will conclude on the profitability of the whole endeavour in a…
Python 3.x, and in particular Python 3.5, natively supports asynchronous programming. While asynchronous code can be harder to read than synchronous code, there are many use cases were the added complexity is worthwhile. One such examples is to execute a…