11 Essential Data Mining Algorithms
A refreshed legacy guide to the main algorithm families every data practitioner should recognize, from regression to ensembles.
Machine Learning
Bias and Variance in Plain English
A refreshed legacy explainer on underfitting, overfitting, and why machine learning models fail to generalize.
A Practical Repository of NLP Learning Directions
A refreshed legacy guide to the major areas inside natural language processing and how to think about learning them.
Seven Steps of a Machine Learning Project
A refreshed legacy guide to the main stages of a machine learning workflow, from data collection to prediction.
Python Libraries for Data Science
A refreshed legacy guide to useful Python libraries for data analysis, machine learning, visualization, and data engineering workflows.
Public Datasets for Data Analysis
A refreshed legacy resource guide to useful public datasets for analytics, machine learning, economics, health, and open data projects.