Deployment

Data Scientists Without Data Engineering Skills Will Face the Harsh Truth

OPINION.You have probably read an article about the difference between a data scientist and a data engineer. I always thought the distinction was clear. Data engineers make the data ready for use and then data scientists work on that data.However,...

Creating the Whole Machine Learning Pipeline with PyCaret

This tutorial covers the entire ML process, from data ingestion, pre-processing, model training, hyper-parameter fitting, predicting and storing the model for later use.We will complete all these steps in less than 10 commands that are naturally c...

Build A Web Data Dashboard In Just Minutes With Python

Exponentially increase power & accessibility by converting your data visualizations into a web-based dashboard with Plotly Dash.Build a web data dashboard — in just a few lines of Python codeI don’t know about you, but I occasionally find it a...

Don’t Learn Machine Learning

Learn how to build software with ML modelsSource: PexelsDisclaimer: The following is based on my observations of machine learning teams — not an academic survey of the industry. For context, I’m a contributor to Cortex, an open source platform for...

Data Science For Startups: Data Pipelines - Part II

A Scalable PipelineWe’ll build a data pipeline that receives events using Google’s PuSub as an endpoint, and save the events to a data lake and database. The approach presented here will save the events as raw data, but I’ll also discuss ways of t...

Data Science For Startups: Data Pipelines - Part I

Source: TheDigitalArtist at pixabay.comPart three of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the introduction, and a book based on this series on Amazon.Building data pipel...

Building the End-to-End Data Science Infrastructure for a Recommendation App Startup

Machine learning packages for different types of data environment (Source: Kosyakov (2016))Following the last post about data management and everything a data scientist should now, we have now a case study.Building out a viable data science produc...