An Introduction to Decision Trees for Machine Learning
Do you want to become data scientist? Do you want… Read More »An Introduction to Decision Trees for Machine Learning
Technical Posts
How can you merge datasets with different timescales?
Handling frequency in machine learning One of the trickiest situations… Read More »How can you merge datasets with different timescales?
What is the fastest way to solve a machine learning problem?
Solving machine learning problems Solving a machine learning problem can… Read More »What is the fastest way to solve a machine learning problem?
Artificial Intelligence In Big and Smaller Companies
Artificial Intelligence is eating the world Technological advancement and digital… Read More »Artificial Intelligence In Big and Smaller Companies
Why so many statistical models are wrong
Problems in statistics Something which often frustrates me is seeing… Read More »Why so many statistical models are wrong
Anomaly detection in Python using the pyod library
Getting started with anomaly detection Anomaly detection is one of… Read More »Anomaly detection in Python using the pyod library
How to use gradient boosted trees in Python
Gradient boosted trees Gradient boosted trees is one of the… Read More »How to use gradient boosted trees in Python
What is the cookie cutter process for data science?
When you stat learning about data science, it is important… Read More »What is the cookie cutter process for data science?
How to optimise parameters? Plus A quick way to optimise parameters for LightGBM
Parameter optimisation is a tough and time consuming problem in… Read More »How to optimise parameters? Plus A quick way to optimise parameters for LightGBM
How to use learning curves in scikit-learn
How much data you need for machine learning? Collecting data… Read More »How to use learning curves in scikit-learn