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Machine Learning: Random Forest with Python from Scratch© [Video]
Machine Learning: Random Forest with Python from Scratch© [Video]

Machine Learning: Random Forest with Python from Scratch©: The complete decision tree and Random Forest course with Python using real datasets [Video]

By AI Sciences
$124.99
Video Nov 2022 8 hours 20 minutes 1st Edition
Video
$124.99
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$15.99 Monthly
Video
$124.99
Subscription
$15.99 Monthly

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Key benefits

  • Use the power of Python to train your machine to learn like a human and make predictions!
  • Learn data preprocessing steps to prepare data for machine learning algorithms
  • Master machine learning concepts and implement the essential ML algorithm, Random Forest

Description

  • Machine learning is designed to understand and build methods that 'learn' to leverage data to improve performance on a set of tasks. Machine learning algorithms are used in a plethora of applications in medicine, email filtering, speech recognition, and more, where it is challenging to develop conventional algorithms to perform tasks.
  • The course begins with an introduction to machine learning concepts and explains the motivation for machine learning. The course teaches all major concepts about Python including variables, objects, strings, loops, decision-making statements, classes, and a small project to recap. You will learn to use the power of Python to train your machine and make predictions and implement the ML algorithm “Random Forest.” Use NumPy with Python for array handling, Pandas data frames for Excel files, and matplotlib for data visualization. You will learn to use Random Forest with sklearn, Matplotlib for Python plotting, and SciKit-Learn for Random Forest.
  • Upon completion, you will Implement the structure of forest, impurity, information gain, partitions, leaf nodes, and decision nodes using Python and create a complete structure for Random Forest using Python to build one tree that lets you create an entire forest. You will write an accuracy calculator function and implement Random Forest on any dataset.
  • All resources are available at: https://github.com/PacktPublishing/Machine-Learning-Random-Forest-with-Python-from-Scratch-

What you will learn

  • Use Random Forest with sklearn and Matplotlib for Python plotting
  • Use SciKit-Learn for Random Forest using the titanic dataset
  • Learn forest structure, impurity, partition, leaf/decision nodes
  • Create a complete Random Forest structure from scratch using Python
  • Build one tree that adds up to create a complete forest
  • Write accuracy calculator functions and implement them on any dataset

Product Details

Country selected

Publication date : Nov 28, 2022
Length 8 hours 20 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781803236803
Category :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Nov 28, 2022
Length 8 hours 20 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781803236803
Category :

Table of Contents

5 Chapters
1. Introduction to the Course Chevron down icon Chevron up icon
2. Introduction to Python Chevron down icon Chevron up icon
3. Introduction to Machine Learning Chevron down icon Chevron up icon
4. Random Forest Step-by-Step Chevron down icon Chevron up icon
5. Conclusion Chevron down icon Chevron up icon

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