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. The resulting trained model is essentially a mathematical function that successfully maps the values of X (the features) to the unknown value of y…

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. The majority of data science projects require large-scale computational power and access to the required python libraries to process vast volumes…

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. …

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…

Create simple, effective machine learning plots with Yellowbrick — An important step in developing machine learning models is to evaluate the performance. Depending on the type of machine learning problem that you are dealing with, there is generally a choice of metrics to choose from to perform this step. However, simply looking at one or two numbers in isolation…

Every book you need to get started for free — Data science is an interdisciplinary field and requires a broad range of skills from several areas including computer science, maths, statistics and machine learning. As a complete beginner to learning data science, it can be hard to know where to start. Data science degree programs and boot camps can guide…