App Intel

Learn ML With Python Offline

LiveIncognito Inventions41 apps · 559.4K installsEducationFree · contains adslifegoal.helpinghands.machinelearningwithpython

Machine Learning With Python Quick Offline Guide

Alert me★ WatchOpen in Play ↗
Total installs
13,636
exact · Play shows 10,000+
Installs / day
—
measured after our second crawl (about a day)
Rating
—★
— ratings · — reviews
Released
5 Jan 2020
6.8y ago
Last update
6 Oct 2022
v1.0.5 · 4y ago
Countries
—
not checked yet

Install history

exact counter from Google Play
13.3K15K16.7K18.3K20K10 Oct11 Oct11 Oct
13.3K15K16.7K18.3K20K10 Oct11 Oct11 Oct

Installs per day · last 90 days

Not enough history yet — check back tomorrow

Change timeline

No changes recorded yet. We compare every crawl with the previous one and list title, icon, screenshots, description, version, price and availability changes here.

Country availability

Availability has not been checked for this app yet. “Check all countries” looks the app up in about 140 Google Play storefronts and shows where it is live, listed but not installable, or missing — plus any country-specific (custom) store listings.

Top countries

Country data will be available soon.

We estimate where downloads come from using the app’s position in Google Play’s top charts in about 140 countries. This app is not in any chart we have collected yet; the estimate appears as soon as it is.

Top chart positions

Not in any tracked top chart.

App manifest

Read this app's manifest from Google Play: permissions, declared SDKs, components and AdMob app ID. Saved analysis appears here automatically.

Manifest analysis reads only the required APK ranges. Base APK downloads may need separate device splits to install.

Data safety

declared by the developer on Google Play
  • No data shared with third parties
  • No data collected

This is the developer's own declaration, summarised from the Play listing. The permissions below show what the app is technically able to access.

Permissions

2 in 1 group
0 Sensitive0 Notable2 Routine
OtherRoutine2

Access to miscellaneous device features that don't fit other categories

  • Check whether you are online and whether you use Wi-Fi or mobile dataview network connections · ACCESS_NETWORK_STATE
  • Connect to the internet to load content and send datafull network access · INTERNET

Sensitive = can reach personal data, location, camera/mic or act on your behalf. Notable = changes how your device behaves. Routine = normal for almost every app. Source: Google Play's permission list for all versions of this app.

Store listing

Full description
This FREE app will help you to understand ML With Python Tutorial properly and teach you about how to Start Coding using ML With Python. Here we are covering almost all Classes, Functions, Libraries, attributes, references. The sequential tutorial let you know from basic to advance level. This "ML With Python Tutorial" is helpful for students to learn Coding step by step from basic to advance level. ***FEATURES*** * FREE of Cost * Easy to Learn Programming * ML With Python Basic * ML With Python Advance * ML With Python Object Oriented * ML With Python Offline Tutorial ***LESSONS*** ML With Python Basic Tutorial Python Ecosystem Methods for Machine Learning Data Loading for ML Projects Understanding Data with Statistics Understanding Data with Visualization Preparing Data Data Feature Selection Introduction Logistic Regression Support Vector Machine(SVM) Decision Tree Naïve Bayes Random Forest Overview Linear Regression Overview K-Means Algorithm Mean Shift Algorithm Hierarchical Clustering Finding Nearest Neighbors Performance Metrics Automatic Workflows Improving Performance of ML Models Disclaimer : All of content in this application is not our trademark. We only get the content from search engine and website. Please let me know if your original content want to remove from our application. We are always here to help you.

What's new

Decision Tree Naïve Bayes Random Forest Linear Regression K-Means Algorithm Mean Shift Algorithm Hierarchical Clustering Finding Nearest Neighbors Performance Metrics Automatic Workflows Improving Performance of ML Models

Growing in Education

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