Published in Towards Data Science·2 days agoManaging Data Science Projects with PoetryHow 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…Data Science4 min read
Published in Towards Data Science·Apr 25How to Be a Great Data ScientistBecome 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. …Data Science5 min read
Published in Towards Data Science·Apr 11The Python Machine Learning Ecosystem6 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…Machine Learning5 min read
Published in Towards Data Science·Mar 30A Simple Guide to Machine Learning VisualisationsCreate 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…Data Science6 min read
Published in Towards Data Science·Feb 146 Free Data Science Books for Complete BeginnersEvery 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…Data Science5 min read
Published in Towards Data Science·Jan 313 Evaluation Metrics for Regression…explained in plain English — Regression-based machine learning models are used to predict the value of a continuous attribute. As with all supervised machine learning problems the model is trained using a set of features (X) to learn the mapping to a target variable (y). In the case of regression, the target is a continuous…Machine Learning6 min read
Published in Towards Data Science·Dec 7, 20218 Metrics to Measure Classification Performance…explained in plain English — Classification is a type of supervised machine learning problem where the goal is to predict, for one or more observations, the category or class they belong to. An important element of any machine learning workflow is the evaluation of the performance of the model. This is the process where we…Data Science7 min read
Published in Towards Data Science·Nov 30, 2021A Beginner’s Guide to End to End Machine LearningLearn to train, tune, deploy and monitor models — Supervised machine learning is a technique that maps a series of inputs (X) to some known outputs (y) without being explicitly programmed. Training a machine learning model refers to the process where a machine learns a mapping between X and y. Once trained the model can be used to make…Machine Learning8 min read
Published in Towards Data Science·Aug 31, 2021How to Set a Routine for Learning Data ScienceHow to make the most of the time you have — If you learn data science through formal full-time education you can typically dedicate hours of time towards study and it is relatively easy to create a routine for learning. …Data Science5 min read
Published in Towards Data Science·Aug 5, 20215 Minute Guide to Pandas Pivot TablesQuickly summarise, group and analyse data with pandas — The Pandas library is a popular Python package for data analysis. When initially working with a dataset in Pandas the structure will be two-dimensional, consisting of rows and columns, also known as a data frame. However, an important part of data analysis is the process of grouping, summarising, aggregating and…Data Science5 min read
