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Machine Learning with Python

Machine Learning with Python

Free Practice Test

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  • TypeExam Format
  • No. of Questions10
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
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Practice Exam

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  • TypeExam Format
  • No. of Questions126
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice, Exam

Online Course

$12.99
  • Content TypeVideo
  • DeliveryOnline
  • AccessImmediate
  • Access DurationLife Long Access
  • No. of Videos89
  • No. of hours18+ hrs

Machine Learning with Python

Machine Learning is causing the PC to gain from studying information and statistics. Machine Learning is a step toward man-made brainpower (AI). Machine Learning is a program that analyses information and learns to anticipate the result.


Table of Contents

  • Introduction
  • Getting Started with Anaconda
  • Regression
  • Classification
  • Support Vector Machine (SVM)
  • Tree
  • Ensemble Machine Learning
  • k-Nearest Neighbours (kNN)
  • Dimensionality Reduction
  • Unsupervised Learning: Clustering

Exam Format and Information


Machine Learning with Python FAQs

Python offers concise and meaningful code. While complex algorithms and versatile workflows stand behind machine learning and AI, Python's simplicity allows developers to compose solid systems.  Python code is understandable by humans, which makes it easier to construct models for machine learning.

Machine learning is a subfield of man-made brainpower, which is extensively characterized as the ability of a machine to mirror keen human conduct. Man-made brain power systems are used to perform complex tasks in a manner that is similar to how humans solve problems.

Albeit a considerable lot of the high level machine learning tools are hard to use and require a lot of sophisticated information in cutting edge mathematics, statistics, and software designing, beginners can do a great deal with the basics, which are generally accessible.  To master machine learning, some math is compulsory.

 

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