Developing a Real-Life Project
A look at what software development looks like in real-life.
Dr. Phil Winder
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15 minMore articles
Page 12 of 21
Dr. Phil Winder
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15 min
A Simple Docker-Based Workflow for Deploying a Machine Learning Model
Deploying ML models is hard, right? Not with this Docker-based workflow!
Dr. Phil Winder
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7 min
COVID-19 Hierarchical Bayesian Logistic Model with pymc3
Building a hierarchical logistic model of COVID-19 cases in pymc3.
Dr. Phil Winder
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28 min
COVID-19 Logistic Bayesian Model
Building upon the previous simple exponential model, in this post I look at using a logistic model for modeling COVID-19 cases.
Dr. Phil Winder
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8 min
COVID-19 Exponential Bayesian Model Backtesting
Building upon the previous simple exponential model, I implement backtesting to quantify prediction error.
Dr. Phil Winder
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6 min
COVID-19 Exponential Bayesian Model
Learn how to use pymc3 for Bayesian modelling of COVID-19 cases.
Dr. Phil Winder
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5 min
COVID-19 Response: Athena Project and an Introduction Bayesian Analysis
An introduction to the Athena project and using bayesian analysis for COVID-19 modeling.
Dr. Phil Winder
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5 min
How to Start a Data Science Project With No or Little Data
Little data? No problem! Best practices for starting an ML project with little or no data. Also how to handle sensitive data and recommendations on what models to use.
Hajar Khizou
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11 min
Keep it Clean: Why Bad Data Ruins Projects and How to Fix it
This presentation will discuss in what circumstances bad data can affect your project along with some high-profile case studies. We will then spend as much time as we have going through some of the techniques you will need to fix that bad data. This is aimed toward those with intermediate-level Data Science experience.
Dr. Phil Winder
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1 min
Fast Time-Series Filters in Python
Learn about how to implement the fastest time-series filters in Python.
Dr. Phil Winder
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7 minNewsletter
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