Data Scientific
Data Scientific is made and published by Jean Claude Zabaloff. AppBrain is an independent app data site and isn't affiliated with Jean Claude Zabaloff. The app name, icon, screenshots and description belong to Jean Claude Zabaloff and are shown as published on the App Store.
AppBrain's verdict
- Last updated
- October 11, 2026
Rankings
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Releases
Updates seen on the App Store- Version
- 1.0.14
- Launched
- May 2026
No changelog data
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Technology
Found in the app by AppBrain- Price
- Free
- App size
- 27.4 MB
- Content rating
- Everyone
Technologies used by Data Scientific
About the app and developer
About Data Scientific
Data Scientific is an education app developed by Jean Claude Zabaloff.
User Ratings
The app has no ratings yet.
App Information
Data Scientific is freely available from the App Store. The app size is 27.37 MB. The latest version available is 1.0.14. The last update was on October 11, 2026.
Technical Requirements
The app has a content rating of Everyone. The app has been available on the App Store since May 2026.
Developer information for Jean Claude Zabaloff
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Frequently asked questions about Data Scientific
Is Data Scientific free?
Yes. Data Scientific is free on the App Store.
Is Data Scientific still available?
Yes. Data Scientific is on the App Store, and the last update we saw was on October 11, 2026.
How large is Data Scientific?
Data Scientific is 27.37 MB.
Is Data Scientific suitable for children?
App Store rates the content of Data Scientific as suitable for everyone.
Who made Data Scientific?
Data Scientific was developed by Jean Claude Zabaloff. It is listed in the education category on the App Store.
Store listing
By Jean Claude Zabaloff, from the App StoreDescription by Jean Claude Zabaloff Written by the developer, not by AppBrain. Click to read.
by Jean Claude Lemoyne Zabaloff — "The Science of Data" and "Data Science
Project" — paired with an AI-powered ML Code Generator that produces
complete, runnable scripts in Python, R, or MATLAB for any machine
learning task you describe.
13 CHAPTERS
What is AI? · Foundations · Supervised Learning · Unsupervised
Learning · Reinforcement Learning · Deep Learning · Bayesian
Inference · Support Vector Machines · Data Science · Knowledge ·
DS Process · Key Concepts
5 APPENDICES
A — Python | B — R | C — MATLAB / Octave / Scilab
D — Optimization | E — Public Data Sources
ML CODE GENERATOR
Describe any ML task or pick from 23 built-in templates and receive
a complete, runnable script instantly.
Languages — Python, R, MATLAB
Templates — Classifiers · Regression · Cross-Validation · ROC Curve ·
Confusion Matrix · Feature Importance · Pipeline · Clustering ·
Neural Network · SVM · PCA · Preprocessing · Hyperparameter Tuning ·
Time Series · Bayesian Inference · Naive Bayes · Bayesian Regression ·
Metropolis-Hastings · Gibbs Sampling · MCMC Diagnostics ·
Gradient Descent · Constrained Optimization · Bayesian Optimization
Every script includes type hints, WHY comments, labelled output, an
expected-output block, and an install-command badge (pip install /
install.packages / Requires:). Copy to clipboard or share via any
app. Three AI-generated follow-up questions deepen understanding
after every session.
APP FEATURES
· Full-text search across all chapters and appendices
· Bookmarks for quick chapter access
· Font size control: S / M / L / XL
· Dark and light mode
· Swipe navigation between chapters
· Content tab + Notes / cheat-sheet tab per chapter
· GFM table rendering with horizontal scroll
· Dracula syntax highlighting — light-green comments,
orange function calls, pink definitions, purple numbers
IDEAL FOR
Graduate ML and data science students, practitioners who want a
rigorous pocket reference, engineers moving into ML, and anyone
studying Bayesian or probabilistic methods.
PRIVACY
No account required. No personal data collected or stored.
The ML Code Generator sends only your prompt text to Anthropic's
Claude API; no personal information is ever transmitted.