Information Technologies

Masterclass Machine Learning with Python

hours

18

language

English

Target Audience

Data analysts, database analysts, big data analysts, data scientists and IT professionals who wants master machine learning.

prerequisites

To attend this training, you should have experience with basic statistical analysis and basic experience in programing at least in one of the modern programing languages (C++, C#, VB.net, Java).

Topics Covered

  • Versions and history
  • Zen of Python
  • REPL
  • Blocks and notation
  • Working with Jupyter
  • Hello world
  • Modules
  • Data types
  • Control flow
  • Objects
  • Iterables
  • Files and resources
  • Collections
  • Introduction to ML
  • Supervised learning
  • Decision trees
  • Regression
  • Neural networks
  • Unsupervised learning
  • Data preprocessing
  • Feature extraction
  • Data scaling
  • Normalization
  • Data encoding
  • Building predictive models
  • Clustering
  • Time series
  • Evaluating models performance
  • Data visualization
  • minimize course outline