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- 28912Murphy2025-03-23
Apache Spark MLlib vs Scikit-learn: Building Machine Learning Pipelines
Code implementations for ML pipelines: from raw data to predictions- 30016Murphy2025-03-23
Ghostly Images and Qubits: A New Way to Visualize Quantum Superposition
Explore the mysteries of quantum computing!- 22031Murphy2025-03-23
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.- 28909Murphy2025-03-23
Machine learning on multioutput datasets: a quick guide
How to train and validate ML models on multioutput datasets with minimal coding effort- 28446Murphy2025-03-23
Software specification in agile projects
Raw insights from IBM's biggest transformation projects- 20667Murphy2025-03-23
Delta Lake – Automatic Schema Evolution
What happens and what you can/can't do when merging evolutive DataFrames- 24613Murphy2025-03-23
Uplift Modeling with Cost Optimization
How to adjust CATE to consider costs associated with your treatments- 25343Murphy2025-03-23
Electric Cars In the Netherlands: Exploratory Data Analysis with Python and SQLAlchemy (Part 2)
Data analysis and visualization with Python, SQLAlchemy, and Bokeh- 21445Murphy2025-03-23
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- 21701Murphy2025-03-23
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- 27199Murphy2025-03-23
How to Level Up Your Python Skills by Learning From These Professionals
Prevent staying stuck at the junior level of Python programming- 24255Murphy2025-03-23
Seasoning your AB testing experiments
How can salt help you with experiments?- 25645Murphy2025-03-23
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- 24015Murphy2025-03-23
5 Functions is All You Need to Manage Your Data with dplyr
How to efficiently make your data ready-to-use- 26512Murphy2025-03-23
Junior Developers Write Multi-Page SQL Queries; Seniors Use Window Functions
An elegant way to perform computation within the context of a record- 24307Murphy2025-03-23
A Complete Tutorial on Off-Policy Evaluation for Recommender Systems
How to reduce the offline-online evaluation gap- 23807Murphy2025-03-23
Hyperparameter Optimization – Intro and Implementation of Grid Search, Random Search and Bayes
Most common hyperparameter optimization methodologies to boost machine learning outcomes.- 29557Murphy2025-03-23
Essential Evaluation Metrics for Classification Problems in Machine Learning
A Comprehensive Guide to Understanding and Evaluating the Performance of Classification Models- 25097Murphy2025-03-23
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- 24935Murphy2025-03-23
Genius Cliques: Mapping out the Nobel Network
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
Data Science Expertise Comes in Many Shapes and Forms
Our weekly selection of must-read Editors' Picks and original features
