Machine Learning Algorithm with Python (Starter) app icon

Machine Learning Algorithm with Python (Starter)

Machine learning algorithms with python implementation for beginners.

Dipendra KM · np.com.deepndra.machinelearningalgorithm

Not rated yet 10K+ downloads v1.0.1 8.6 MB Android 4.1+ PEGI 3 · Everyone

At a glance

Latest version
v1.0.1 (3)
Updated
Jun 9, 2024 (2 years ago)
APK size
8.6 MB
Requires
Android 4.1+ (API 16)
CPU support
ARM 32-bit
Category
Education (app)
Listed since
Mar 11, 2021 (at least)
Permissions
5
Website
deepndra.com.np
Developer contact
[email protected]
Privacy
Developer's privacy policy

About this APK

Machine Learning Algorithm with Python (Starter) is an app by Dipendra KM in the Education category, listed since at least March 2021. It includes native code only for ARM 32-bit, so it won't run on 64-bit-only phones such as recent Pixels.

It asks for 5 permissions, none of them sensitive.

What's new in v1.0.1

Server migrated image full screen view

Description

From the listing uploaded by “appupdater”.

Are you interested in Machine learning? Then this application is the perfect fit for you. Get all concepts and study material of Machine Learning for Data Science at a single place. this is an educational app to learn machine learning algorithms. App Features: 💻 Fully Offline mode. 💻 Absolutely free. 💻 User-friendly Graphics UI (User Interface). 💻Cheat Sheet for Python | Pandas | Numpy | Matplotlib 💻 Includes code for developing models of various machine learning algorithms in Python. Different datasets are used to develop models so that students can understand which algorithms to use. This application will cover the following topics: 💻 Linear Regression 💻 Classification 💻 Linear Regression - Simple Linear Regression Machine Learning Algorithm - Multiple Linear Regression Machine Learning Algorithm - Polynomial Regression Machine Learning Algorithm 💻 Classification - Naive Bayes Machine Learning Algorithm - Decision Tree Machine Learning Algorithm - Random Forest Machine Learning Algorithm - Support Vector Machine Learning Algorithm - K Nearest Neighbor Machine Learning Algorithm 💻 Clustering - K-Mean Clustering Machine Learning Algorithm - Hierarchical Clustering Machine Learning Algorithm 💻 Python Implementation 💻 Learn Numpy 💻 Learn Pandas 💻 Learn Matplotlib Download this app and start learning for free. If you really like this app then share it with your friends and give it a positive rating if any error found, please suggest to us.

Security & authenticity

Security rating: Trusted

Signing certificate

  • Certificate with Google's generic name Google Play App Signing gives the keys it manages this name, but anyone can put it in a certificate, so this alone proves nothing.

Store checks and file details

  • Developer signature verified Jun 9, 2024
  • Signed byCN=Android, OU=Android, O=Google Inc., L=Mountain View, ST=California, C=US
  • Signing certificate (SHA-1)CE:96:52:FF:05:F4:B9:72:BA:23:E7:15:13:6F:9D:E7:15:E3:5A:EB
  • File MD5ea24add2a9ce43022ead6a231e76940b
  • Uploaded by “appupdater” Gold tier · 117,810 followers · uploading since 2020

Scans and ratings come from the source store; the certificate comparisons are AAPKs's own, made from the files' published signatures. AAPKs doesn't scan files itself — compare the MD5 and signer after downloading.

Permissions (5)

Machine Learning Algorithm with Python (Starter) requests 5 permissions, none of them sensitive.

Required hardware & features

Machine Learning Algorithm with Python (Starter) APK: questions and answers

Can I install this APK over the version I already have?

Only if it is signed with the same certificate as the copy on your phone and isn't an older version. If Android says “App not installed”, the certificates differ; uninstalling your copy first works but deletes its data unless it is backed up.

Is the Machine Learning Algorithm with Python (Starter) APK safe?

No one can promise that a file is safe, but some things can be checked. The source store rates this file Trusted. After downloading, check that the file's MD5 is ea24add2a9ce43022ead6a231e76940b.

Tags

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