Understanding PCA and implementing it step by step using python
This post details how principal component analysis (PCA) works and how to perform it step by step using Python.
landercy.be
Grasp more from your process, make analytics, focus on what matters.
landercy.be
Grasp more from your process, make analytics, focus on what matters.
Category Programming
Using Q-Q Plot to visually check distribution agreements
In this post we propose a simple implementation of Q-Q Plot and show some basic usage of it.
Find the closest points to a specific location using KD Tree
In this article we show how KD Tree works and how Voronoi diagram are linked with it by answering a simple question: given a set of reference points (points of interests), find for any point (location) the closet points wrt…
Compute Acid/Base Partition functions
This post shows how to derive Acid/Base Partition functions using analytical chemistry and conversely how to determine pH of a mixture of poly-acid with given initial concentrations and pKa.
Compute integral using Monte-Carlo
In this post we show how an integral can be computed using Monte-Carlo method and how combination with bootstrapping can increase precision. Reference Lets say we wan to integrate the cardinal sinus over the interval . Graphically it is about…
Solving geometry problem with shapely
This post shows how to use shapely library to solve complex geometry problems easily.
Solving the Ballistic problem with Drag Force
This post shows how to solve the Ballistic problem with Drag Force taken into account.
Animated double pendulum
This post shows how to create an animated double pendulum with scipy and matplotlib.
Bifurcation diagram
Sometimes, it is just fun to do some simple math and get nice figure, why not drawing some bifurcation diagrams.
Fit multiple Lorentzian peaks from spectrogram
This post shows of to fit an arbitrary number of Lorentzian peaks (Cauchy distribution) using scipy.