A quick reference guide to 5 common algorithms — The “no free lunch” theorem for machine learning states that there is no single machine learning algorithm that can solve all types of machine learning problems. Machine learning tasks can vary widely and the choice of algorithm will depend on things such as the size, dimensionality and sparsity of the…

What are the strategies? How and when should you use them? — The goal of a machine learning model is to learn general patterns from specific examples. In real life all data contains a degree of random variation and noise. In order to learn the general underlying pattern in a dataset and predict well on new data it is important that a…

Quickly analyse and summarise your data with these Python tools — Data profiling is one of the first steps in any data science project. It is a form of exploratory data analysis which seeks to analyse, describe and summarise a dataset to gain an understanding of both its quality and fundamental characteristics. The data profiling task is used to inform further…

Understand how and when to apply common preprocessing techniques — Machine learning algorithms learn patterns that exist in a set of features and use these patterns to predict a given target variable for new unknown data. …

Get started with machine learning using Snowpark Python — If you are working as a Data Scientist in a business setting you will extract much of your data for machine learning from a data warehouse or data lake. …

Get started with your machine learning journey for free — There are many ways to get started with studying machine learning. I have previously written a lot about how to design your own curriculum and roadmap as an alternative to taking courses. This approach allows you to pick and choose free, or low-cost, resources from across the internet that suit…

How to install, set up, and use Poetry to manage your data science projects — Reproducibility is an important aspect of data science. When we talk about reproducibility in data science we refer to the ability to independently recreate the results of a project either by yourself at a later point in time or by a colleague. Having processes that ensure reproducibility builds trust in…

Become a data scientist who can deliver robust models and maximum impact — Data science has become a popular career choice over the last decade or so. Glassdoor rated data scientist as the 2nd best job in America in 2021. …

6 Python machine learning tools. What are they, and when should you use them? — Python continues to grow as the number one programming language used by data scientists. In Anaconda’s recent State of Data Science in 2021 report, 63% of the data scientists surveyed said that they always or frequently use Python. The popularity of Python within the data science community is in part…