Tag: python

Anomaly Detection Resources

Carnegie Mellon PhD student Yue Zhao collects this great Github repository of anomaly detection resources: https://github.com/yzhao062/anomaly-detection-resources The repository consists of tools for multiple languages (R, Python, Matlab, Java) and resources in the form of: Books & Academic PapersOnline Courses and VideosOutlier DatasetsAlgorithms and ApplicationsOpen-source and Commercial Libraries/ToolkitsKey Conferences & Journals Outlier Detection (also known as Anomaly Detection) … Continue reading Anomaly Detection Resources →

Step up your Coding Game

A friend of mine pointed me to this great website where you can interactively practice and learn new programming skills by working through small coding challenges, like making a game. CodinGame.com is an gamified learning community and website that allows you to learn new concepts by solving fun challenges. Pick from over 25 programming languages, … Continue reading Step up your Coding Game →

Calibrating algorithmic predictions with logistic regression

I found this interesting blog by Guilherme Duarte Marmerola where he shows how the predictions of algorithmic models (such as gradient boosted machines, or random forests) can be calibrated by stacking a logistic regression model on top of it: by using the predicted leaves of the algorithmic model as features / inputs in a subsequent … Continue reading Calibrating algorithmic predictions with logistic regression →

The Mental Game of Python, by Raymond Hettinger

YouTube recommended I'd watch this recorded presentation by Raymond Hettinger at PyBay2019 last October. Quite a long presentation for what I'd normally watch, but what an eye-openers it contains! Raymond Hettinger is a Python core developer and in this video he presents 10 programming strategies in these 60 minutes, all using live examples. Some are … Continue reading The Mental Game of Python, by Raymond Hettinger →

Getting started with Python in Visual Studio Code

After several years of proscrastinating, the inevitable finally happened: Three months ago, I committed to learning Python! I must say that getting started was not easy. One afternoon three months ago, I sat down, motivated to get started. Obviously, the first step was to download and install Python as well as something to write actual … Continue reading Getting started with Python in Visual Studio Code →

Dynamic Programming MIT Course

Cover image by xkcd Over the last months I've been working my way through Project Euler in my spare time. I wanted to learn Python programming, and what better way than solving mini-problems and -projects?! Well, Project Euler got a ton of these, listed in increasing order of difficulty. It starts out simple: to solve … Continue reading Dynamic Programming MIT Course →