Get started with machine learning and understand how to apply AI solutions to real-world problems. Learn the fundamentals of ML algorithms, data preprocessing, and model evaluation.

What you’ll learn

After this course you’ll be able to

  • Understand machine learning concepts and terminology
  • Work with different types of ML algorithms (supervised, unsupervised)
  • Preprocess and clean data for ML models
  • Build and train models using popular frameworks
  • Evaluate model performance and avoid overfitting
  • Apply feature engineering techniques
  • Use cross-validation and hyperparameter tuning
  • Deploy ML models to production
  • Understand ethical considerations in ML
  • Work with real datasets and case studies
  • Choose appropriate algorithms for different problems

Audience

Developers, Data analysts, Product managers

Prerequisites

  • Basic programming knowledge (Python recommended)
  • Understanding of statistics and mathematics
  • Some experience with data analysis

Pricing

2 day Machine Learning training 1800,-

About the trainer

Emile is the CTO at Leaplines. He is responsible for the overall architecture of the API’s and then software landscape. Emile’s team has been using Graphql successfully in production now for over 2 years enabling high performing, declarative API’s for clients such as Hudson Bay, Bijenkorf, Action and Suitsupply.