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Learn ML With Python Offline
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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스크린샷

#1. Learn ML With Python Offline (Android) 게시자: Incognito Inventions
#2. Learn ML With Python Offline (Android) 게시자: Incognito Inventions
#3. Learn ML With Python Offline (Android) 게시자: Incognito Inventions
#4. Learn ML With Python Offline (Android) 게시자: Incognito Inventions
#5. Learn ML With Python Offline (Android) 게시자: Incognito Inventions
#6. Learn ML With Python Offline (Android) 게시자: Incognito Inventions
#7. Learn ML With Python Offline (Android) 게시자: Incognito Inventions
#8. Learn ML With Python Offline (Android) 게시자: Incognito Inventions

새로운 기능

  • 버전: 1.0.5
  • 업데이트:
  • 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

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  • 버전: 1.0.5
  • ID: lifegoal.helpinghands.machinelearningwithpython
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