UDEMY 2021 - Machine Learning using Python

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This training is an introduction to the concept of machine learning, its algorithms and application using Python.

You can find "Download Link" as a button at the end of this article.

What you’ll learn

  • Software Engineers
  • IT operations
  • IT operations

  • Technical managers
  • Technical managers

    Requirements

  • No prior knowledge of machine learning required
  • Basic knowledge of Python
  • Description

    The training will include the following;

  • What is Machine Learning? (Intro – why its used, Data Science defined)
  • Analytics Defined (Predictive, Prescriptive etc.,)
  • Data Mining Flow(Phases defined – with MOdeling phase that involves ML)
  • Explanation on Data Set
  • Supervised Learning
  • Unsupervised Learning
  • Classification Algorithms
  • Regression Algorithms
  • Linear Regression
  • Logistic Regression
  • Naive Bayes Classifier
  • Anonymous Detection
  • Decision Trees
  • Random Forest
  • Neural Networks
  • K-Means Clustering
  • Apriori algorithm
  • Feature Selection
  • Support Ventor Machine
  • Basic explanation on Use Cases
  • Basic Functions defines (Cost function, likelihood function, normalization, trade off etc.,)
  • Primary tools/ Softwares used for ML
  • Python Packages for Machine Learning
  • Who is the target audience?

  • Anyone who wants to learn about data and analytics
  • Data Engineers
  • Analysts
  • Architects
  • Created by EDU CBALast updated 10/2018English

    Size: 1.58 GB

    Download File Here

    https://www.udemy.com/machine-learning-using-python/.

    TinyURL for this post: https://tinyurl.com/yybcqcfn

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