Android

Learn ML With Python Offline

Learn ML With Python Offline has 13,642 installs (+0.2% in 30 days), #36,858 of 303,583 in Education.

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Installs
13,642
Rating
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0 ratings
Rank on Android
#414,227
of 2,768,707
Version
1.0.5
Last updated 2022-10-06

Description

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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.

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Growth change in installs

Per Growth Growth % Actual change Measured over
day Not enough history yet
week Not enough history yet
month +21 +0.2% +23 33.5 days
year Not enough history yet
How these figures are measured

Change in installs, scaled to each window from the real gap between crawls. A window needs a full period of history before it reports anything.

Tracking since 2026-09-13. History accumulates as changes are observed — check back soon.

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