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

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

By AI Sciences
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50+ new titles added every month on new and emerging tech
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Mobile App with offline access
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  1. Free Chapter
    Introduction to the Course
About this video
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-
Publication date:
November 2022
Publisher
Packt
Duration
8 hours 20 minutes
ISBN
9781803236803

About the Author
  • AI Sciences

    AI Sciences are a group of experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.

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