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App Store Apps > Education > ML Pro: Machine Learning AI
ML Pro: Machine Learning AI icon

ML Pro: Machine Learning AI

by Shekh Ehsanur Rahman · Education · $4.99
On the App Store since May 2026 · Data updated 2026-10-30

ML Pro: Machine Learning AI is made and published by Shekh Ehsanur Rahman. AppBrain is an independent app data site and isn't affiliated with Shekh Ehsanur Rahman. The app name, icon, screenshots and description belong to Shekh Ehsanur Rahman and are shown as published on the App Store.

AppBrain's verdict

Last updated
September 27, 2026
Official page on the App Store

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Also available on Google Play

ML Pro: Machine Learning AI icon ML Pro: Machine Learning AI
Shekh Ehsanur Rahman
0.0
$4.49
100+

Releases

Updates seen on the App Store
Version
2.0.2
Launched
May 2026

No changelog data

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Technology

Found in the app by AppBrain
Price
$4.99
App size
43.4 MB
Content rating
Everyone

Technologies used by ML Pro: Machine Learning AI

About the app and developer

About ML Pro: Machine Learning AI

ML Pro: Machine Learning AI is an education app developed by Shekh Ehsanur Rahman.

What is the rating of ML Pro: Machine Learning AI?

ML Pro: Machine Learning AI has no ratings yet.

Is ML Pro: Machine Learning AI free?

ML Pro: Machine Learning AI costs $4.99. The app size is 43.44 MB. The latest version available is 2.0.2. The last update was on September 27, 2026.

What are the requirements for ML Pro: Machine Learning AI?

The app has a content rating of Everyone. The app has been available on the App Store since May 2026.

Developer information for Shekh Ehsanur Rahman

Shekh Ehsanur Rahman

Address:

Frequently asked questions about ML Pro: Machine Learning AI

Is ML Pro: Machine Learning AI free?

No. ML Pro: Machine Learning AI costs $4.99 on the App Store.

Is ML Pro: Machine Learning AI still available?

Yes. ML Pro: Machine Learning AI is on the App Store, and the last update we saw was on September 27, 2026.

How large is ML Pro: Machine Learning AI?

ML Pro: Machine Learning AI is 43.44 MB.

Is ML Pro: Machine Learning AI suitable for children?

App Store rates the content of ML Pro: Machine Learning AI as suitable for everyone.

Who made ML Pro: Machine Learning AI?

ML Pro: Machine Learning AI was developed by Shekh Ehsanur Rahman. It is listed in the education category on the App Store.

Share ML Pro: Machine Learning AI

Store listing

By Shekh Ehsanur Rahman, from the App Store
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Screenshots by Shekh Ehsanur Rahman, from the the App Store listing
Description by Shekh Ehsanur Rahman Written by the developer, not by AppBrain. Click to read.
ML Pro is the complete, unlocked, advertisement free edition of our machine learning and artificial intelligence course. 105 subjects, 2,650 lessons and more than 8,000 practice questions, for a single payment, with no subscription.

ONE PAYMENT, THE WHOLE COURSE

No monthly charge. No advertisements interrupting a difficult explanation. No topics locked behind a second purchase. Everything downloadable for offline study.

WHAT IS INCLUDED

Machine learning foundations — the training workflow, evaluation metrics, overfitting, and the bias variance tradeoff.

Supervised learning — linear and logistic regression, decision trees, random forests, support vector machines, k nearest neighbours and naive Bayes.

Unsupervised learning — k means and hierarchical clustering, dimensionality reduction, principal component analysis and anomaly detection.

Deep learning — perceptrons, activation functions, backpropagation, convolutional networks, recurrent networks, LSTMs and transformers.

Reinforcement learning — agents, rewards, Q learning and policy based methods.

Natural language processing — tokenization, embeddings and how large language models are constructed.

Tooling — Python, TensorFlow, Keras, scikit learn, NumPy, Pandas, H2O, OpenCV and Spark MLlib in a real workflow.

Applied case studies across healthcare, finance, recommendation systems, fraud detection and computer vision.

8,000+ PRACTICE QUESTIONS

Every subject has its own bank. Sessions are ten questions, four options each, tied to the chapter you have been reading.

Three timed levels: beginner 30 seconds per question, intermediate 20, expert 10. Pass at 70%. Filter by difficulty, by attempted or untried, and by best score. Full attempt history, kept permanently.

INTERVIEW PREPARATION INCLUDED

25 machine learning roles, 100 questions each, 2,500 in total — junior through staff and principal ML engineer, data scientist, applied scientist, MLOps, NLP and computer vision. Timed like a real screening round, scored and saved.

FULL OFFLINE STUDY

Download any subject and read it with no connection. Lesson text lives on the device; images still need network. Opened lessons cache automatically. The Downloads screen shows what is stored and lets you cancel, resume or clear a subject.

PROGRESS AND CERTIFICATES

Mark lessons complete, track a real completion percentage per subject, and return to your exact place with the Continue card.

Keep a daily streak, with an optional reminder that stays off unless you turn it on.

Complete a subject and pass its quiz at 70% or above to unlock a shareable certificate.

WHY THE PRO EDITION

Uninterrupted reading. Machine learning takes sustained concentration, and an advertisement in the middle of a backpropagation explanation costs you more than it costs us.

Complete coverage — nothing in the syllabus or the question bank is withheld.

Full text search across every lesson, which is what you want the night before an interview. Syntax highlighted code with one tap copy, light and dark themes, adjustable font size and tablet layouts.

One payment, no renewal.

WHO BUYS THE PRO EDITION

Developers moving into machine learning engineering or data science who want a single reliable reference. Students taking AI or data science courses who need a clearer second explanation than their lecture notes. Candidates preparing for machine learning interviews, where questions still concentrate on fundamentals rather than the newest library. Professionals who need to understand the models being deployed in their industry.

Understanding how models are trained, why they fail, and what they genuinely cannot do has become part of the baseline for technical work. That understanding does not go stale when a framework version changes.

Buy once, keep it, study at your own pace.

Questions, corrections or a topic request? Email mail@ehsanur.com — we update the app based on what learners ask for.
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