DEV Community

Data Science

Data Science allows us to extract meaning from and interpret data.

Posts

👋 Sign in for the ability to sort posts by relevant, latest, or top.
Analyzing Steam Games 2025: Genres, Players and User Ratings

Analyzing Steam Games 2025: Genres, Players and User Ratings

Comments
4 min read
Escaping the tutorial trap and starting my ML training arc

Escaping the tutorial trap and starting my ML training arc

Comments
1 min read
# Why "drift_score = 0.0" Is Not Yet Evidence of Semantic Stability — and What Your n=251 vs cap=200 Mismatch Actually Costs by: Eyoel Nebiyu

# Why "drift_score = 0.0" Is Not Yet Evidence of Semantic Stability — and What Your n=251 vs cap=200 Mismatch Actually Costs by: Eyoel Nebiyu

Comments
6 min read
Why Your Non-Significant Benchmark Result Might Be a Power Problem (Not a Model Problem)

Why Your Non-Significant Benchmark Result Might Be a Power Problem (Not a Model Problem)

Comments
3 min read
What Reddit Can Teach Us About Women’s Watch Preferences (Python + NLP Project)

What Reddit Can Teach Us About Women’s Watch Preferences (Python + NLP Project)

4
Comments
5 min read
A beginner path-guide to Python

A beginner path-guide to Python

1
Comments
2 min read
Can You Steer It? Introducing SEWO — A Steerable Medicine World Model Framework

Can You Steer It? Introducing SEWO — A Steerable Medicine World Model Framework

Comments
3 min read
Microsoft Fabric Data Agent: Ask Your Data Questions in Plain English

Microsoft Fabric Data Agent: Ask Your Data Questions in Plain English

Comments
4 min read
PYTHON IN DATA ANALYSIS

PYTHON IN DATA ANALYSIS

Comments
3 min read
New Features with TSEDA - get the most out of your time series data.

New Features with TSEDA - get the most out of your time series data.

Comments
1 min read
Handling Class Imbalance in Fraud Detection with scikit-learn

Handling Class Imbalance in Fraud Detection with scikit-learn

Comments
6 min read
🐍 The "Production-Ready" Miniconda Cheatsheet: From Homebrew to JupyterLab

🐍 The "Production-Ready" Miniconda Cheatsheet: From Homebrew to JupyterLab

Comments
3 min read
I wrote a 104-page book on the GitHub signals that predict Series A rounds — free download

I wrote a 104-page book on the GitHub signals that predict Series A rounds — free download

1
Comments
2 min read
I built 'dfxpy' to reduce repetitive Pandas + ML preprocessing workflows

I built 'dfxpy' to reduce repetitive Pandas + ML preprocessing workflows

Comments
1 min read
Getting Started with Python: A Practical Introduction for Beginners

Getting Started with Python: A Practical Introduction for Beginners

1
Comments 1
4 min read
👋 Sign in for the ability to sort posts by relevant, latest, or top.