matplotlib machine-learning scikit-learn

## Visualizing Machine Learning Models: Examples with Scikit-learn, XGB and Matplotlib

**23 Apr 2018** Examples on how to use matplotlib and Scikit-learn together to visualize the behaviour of machine learning models, conduct exploratory analysis, etc.

**Read More ›**

## Pandas Dataframe: Merge and Join Examples

**17 Apr 2018** Examples on how to use pandas.merge to do SQL-style joins on pandas dataframes.

**Read More ›**

## Introduction to AUC and Calibrated Models with Examples using Scikit-Learn

**15 Apr 2018** Inspired by a podcast episode by Linear Digressions, which talks about what AUC is and what it is not and why you need well calibrated models if you want to treat their outputs as probabilities.

**Read More ›**

## Visualization Options for Jupyter Notebooks

**14 Apr 2018** Use pandas, numpy and matplotlib options for enhancing visualization in Jupyter notebooks.

**Read More ›**

## Corda Framework Overview + Examples

**07 Apr 2018** Overview of the main concepts of the Corda framework for building decentralized applications based on Distributed Ledger Technology (DLT).

**Read More ›**

## Similarity measures and distances: Basic reference and examples for data science practitioners

**10 Mar 2018** Measuring how far apart two points are is not as simple as you think and knowing how to use each can make predictive or exploratory models perform either very poorly or very well. Reference and examples including euclidean distance, manhattan distance, mahalanobis distance, etc.

**Read More ›**

## Python Docstrings: Reference & Examples

**24 Feb 2018** Examples to help you document your Python code using any of the commonly used docstring styles.

**Read More ›**

## Crypto Asset Overview: Augur Project

**18 Feb 2018** Short overview with the least you need to know about the Augur project and the REP token.

**Read More ›**

## Python Logging: Reference and Examples

**17 Feb 2018** Examples on how to setup and configure logging in Python applications.

**Read More ›**