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AI for Finance

Predict patterns in financial data using Machine Learning

JK

Created by Jakub Konczyk

Discover how to apply machine learning to financial forecasting by predicting currency exchange rates. You'll explore data preparation techniques, boost model accuracy, and compare different ML models to find the most effective approach. Everything is taught through hands-on projects using real financial data.

Packt | Feb 2019 | 139 min

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LevelIntermediate
CategoriesData Science, Statistical Analysis and Predictive Modeling

What You Will Learn

You'll start by working with real financial data and simple ML models, then move on to advanced data preparation and model selection. Each step involves hands-on exercises that guide you through building, training, and evaluating models. By the end, you'll know how to apply machine learning to real-world financial forecasting tasks.

Key Features

  • Build practical skills in forecasting financial trends using Python and ML tools
  • Learn to prepare and clean financial data for accurate machine learning predictions
  • Compare and evaluate modern ML models to select the best one for your data

Target Audience

Perfect for data scientists, ML practitioners, investment analysts, and portfolio managers with basic Python knowledge. If you're looking to expand your skills into financial forecasting and want practical experience applying machine learning to real data, you'll find this course a great fit.

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