How to make 40+ interactive plots to analyze your machine learning pipeline
A quick guide on how to make clean-looking, interactive Python plots to validate your data and model- 28868Murphy2025-03-23
Apache Spark MLlib vs Scikit-learn: Building Machine Learning Pipelines
Code implementations for ML pipelines: from raw data to predictions- 29972Murphy2025-03-23
Ghostly Images and Qubits: A New Way to Visualize Quantum Superposition
Explore the mysteries of quantum computing!- 21988Murphy2025-03-23
4 Powerful, Unique Ways To Help You Critically Evaluate The Next Data Science Project You Come…
Qualitative methods, data manipulation, and media sources - as well as a detailed look into how numbers can lie.- 28866Murphy2025-03-23
Machine learning on multioutput datasets: a quick guide
How to train and validate ML models on multioutput datasets with minimal coding effort- 28404Murphy2025-03-23
Software specification in agile projects
Raw insights from IBM's biggest transformation projects- 20624Murphy2025-03-23
Delta Lake – Automatic Schema Evolution
What happens and what you can/can't do when merging evolutive DataFrames- 24570Murphy2025-03-23
Uplift Modeling with Cost Optimization
How to adjust CATE to consider costs associated with your treatments- 25300Murphy2025-03-23
Electric Cars In the Netherlands: Exploratory Data Analysis with Python and SQLAlchemy (Part 2)
Data analysis and visualization with Python, SQLAlchemy, and Bokeh- 21402Murphy2025-03-23
Outlier Detection Using Principal Component Analysis and Hotelling's T2 and SPE/DmodX Methods
Thanks to PCA's sensitivity, it can be used to detect outliers in multivariate datasets- 21658Murphy2025-03-23
Case Study: Applying a Data Science Process Model to a Real-World Scenario
Development of a machine learning model for materials planning in the supply chain- 27157Murphy2025-03-23
How to Level Up Your Python Skills by Learning From These Professionals
Prevent staying stuck at the junior level of Python programming- 24211Murphy2025-03-23
Seasoning your AB testing experiments
How can salt help you with experiments?- 25602Murphy2025-03-23
How to Find an Apartment with a Short Commute
A guide on how to make a customized commuter's map of your home city using data science and Google Maps API- 23973Murphy2025-03-23
5 Functions is All You Need to Manage Your Data with dplyr
How to efficiently make your data ready-to-use- 26467Murphy2025-03-23
Junior Developers Write Multi-Page SQL Queries; Seniors Use Window Functions
An elegant way to perform computation within the context of a record- 24264Murphy2025-03-23
A Complete Tutorial on Off-Policy Evaluation for Recommender Systems
How to reduce the offline-online evaluation gap- 23765Murphy2025-03-23
Hyperparameter Optimization – Intro and Implementation of Grid Search, Random Search and Bayes
Most common hyperparameter optimization methodologies to boost machine learning outcomes.- 29514Murphy2025-03-23
Essential Evaluation Metrics for Classification Problems in Machine Learning
A Comprehensive Guide to Understanding and Evaluating the Performance of Classification Models- 25055Murphy2025-03-23
Enhance Your ML Experimentation Workflow with Real-Time Plots
In the previous article of this series, I demonstrated how to use DVC’s VS Code extension to transform our IDE into an experimentation platform, allowing us to directly run and evaluate ML experiments. I also mentioned that the extension offers usef- 24892Murphy2025-03-23
The current state of continual learning in AI
Why is ChatGPT only trained up until 2021?
Optimizing Pandas Code: The Impact of Operation Sequence
Learn how to rearrange your code to achieve significant speed improvements.