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How much does Machine Learning Advance earn?

Android app from SkedSoft · Education

ML forecast ★ 3.3 · 204 Free

~273/mo

ML revenue forecast. Calibrated against 120891 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Machine Learning Advance screenshot 1 Machine Learning Advance screenshot 2 Machine Learning Advance screenshot 3 Machine Learning Advance screenshot 4

Machine Learning Advance's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Machine Learning Advance sits in Education

Revenue distribution of 120891 comparable apps. Machine Learning Advance highlighted.

Machine Learning Advance vs comparable apps

Revenue trajectory side-by-side. Bold = Machine Learning Advance, ghosted = peers.

App spec

Version
3.0.4
Last update
Aug 12, 2025
Launched
Oct 20, 2016
Price
Free
Monetization
Free

What Machine Learning Advance actually does (from store listing)

Advance engineering subjects for graduate and postgraduate students. App covers a large number of subjects from the courses including machine learning , AI and computer science. All courses are divided in to units and chapters to make eacher navigate. You can also see news to the related subject and in discoveries on the topics. You will understand requirements to create machine learning system like, * Data preparation capabilities. * Algorithms – basic and advanced. * Automation and it…
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Comparable Android apps

The five apps in Education with the closest revenue to Machine Learning Advance. Click any to see its detail page.

AppRevenueRatingRatings
الشامل في البكالوريا icon الشامل في البكالوريا 273 0
Bibliotecas USP icon Bibliotecas USP 273 0
Tejaswi High School (B2) icon Tejaswi High School (B2) 273 0
Electrical Dictionary icon Electrical Dictionary 273 ★ 4.7 201
Gastrointestinal System icon Gastrointestinal System 273 ★ 4.7 154
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Machine Learning Advance's tracker page for current rating, reviews and snapshot timeline.

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