This repository contains Notebooks/scripts used in articles published on Medium. The latest versions of the texts can be found on Medium, the latest changes to the code are reflected in the Notebooks/scripts.

• A step-by-step introduction to Cohort Analysis in Python

• Mario vs. Wario: Image Classification in Python
• Mario vs. Wario — round 2: CNNs in PyTorch and Google Colab
• The easiest way to download YouTube videos using Python
• Computer Vision 101: Working with Color Images in Python
• Image Colorization using Convolutional Autoencoders
• Implementing Yann LeCun’s LeNet-5 in PyTorch

• Introduction to dtplyr
• Make working with large DataFrames easier, at least for your memory

• Explaining Feature Importance by example of a Random Forest
• Outlier Detection with Isolation Forest
• Outlier Detection with Extended Isolation Forest
• Outlier Detection with Hampel Filter
• Creating benchmark models the scikit-learn way
• Ensemble learning using the Voting Classifier

• Introduction to quantitative finance part I: Stylised facts of asset returns
• Long-term asset allocation strategies based on GARCH models — a simulation exercise in R
• Introduction to backtesting trading strategies
• Backtesting trading strategies using custom data in zipline
• The easiest way to evaluate the performance of trading strategies in Python
• Algorithmic trading based on Technical Analysis in Python
• A comprehensive guide to downloading stock prices in Python

• Introduction to Power Analysis in Python
• Interpreting the coefficients of linear regression
• Explaining probability plots
• One-tailed or two-tailed test, that is the question
• Verifying the Assumptions of Linear Regression in Python and R

• 5 types of plots that will help you with time series analysis
• An intuitive guide to differencing time series in Python