Machine Learning - Introduction
Hands-on AI and data analytics workshops — built around your team's real cases.
Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
You will understand what machine learning is and how to apply it in practice
You will learn to work in an ML environment: Python, Jupyter, conda, and IDE tools
You will consolidate key Python elements and explore its use in data analysis
You will master the basics of statistics and practical approaches to data processing
What we actually do
- · Goals and types of machine learning
- · Difference between machine learning and deep learning
- · Applications of machine learning in well-known examples
- · Configuring a conda virtual environment
- · Configuring IDEs: Jupyter and PyCharm/VS Code
- · Syntax
- · Data types
- · Functions
- · Object-oriented programming
- · IPython & Magics
- · Basic concepts
- · Distributions
- · Correlation
- · NumPy
- · Pandas
- · Data cleaning
- · Data wrangling
- · Data understanding
- · Data visualization
- · Data analysis
- · Data storytelling
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
Other programs for teams
See all →Advanced image analysis methods using CNN
Hands-on AI and data analytics workshops — built around your team's real cases.
AI - general training
Hands-on AI and data analytics workshops — built around your team's real cases.
AI Agents in Practice: Building, Integrating, and Scaling
Hands-on AI and data analytics workshops — built around your team's real cases.