Introduction to machine learning

Machine learning training


Python syntax

Skills your team will gain

Selected machine learning and deep learning concepts and algorithms.

The ability to create machine learning and deep learning algorithms in Python using its libraries.

The ability to create pipelines for solving real‑life problems.

Tools and metrics for evaluating machine learning models.

Guidance on how to manage data science projects and how they differ from software development ones.


3 days


Part 1

Machine learning basics

  • Data science ideas
  • The programming environment: Python or R and its data science libraries, Jupyter Notebook
  • Data exploration and preprocessing

Part 2

Machine learning techniques

  • Feature engineering
  • Linear regression, logistic regression
  • Reducing dimensionality

Part 3

Random forests, managing the data science process

  • Random forest, XGBoost, !!LightGBM
  • Organizing teamwork
  • Managing and tracking experiments

Contact our training manager

    Fill out this quick form and we will contact you shortly

    You can modify your privacy settings and unsubscribe from our lists at any time (see our privacy policy).

    This site is protected by reCAPTCHA and the Google privacy policy and terms of service apply.

    Find us
    •, Inc.
    • 2100 Geng Road, Suite 210
    • Palo Alto, CA 94303
    • United States of America
    • Sp. z o.o.
    • al. Jerozolimskie 162A
    • 02-342 Warsaw
    • Poland
    Let us know how we can help