ml-course and MLiFC

These are complements: one provides a broad foundational ML curriculum while the other specializes in applying those ML concepts to financial markets and trading, so learners would use the general course first then progress to domain-specific financial applications.

ml-course
61
Established
MLiFC
47
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 22/25
Stars: 3,437
Forks: 1,303
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 109
Forks: 59
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About ml-course

girafe-ai/ml-course

Open Machine Learning course

This is a comprehensive first-semester course designed to introduce individuals to the core concepts and practical applications of machine learning. It provides structured learning materials including lecture videos, slides, and homework assignments, covering fundamental topics from classical algorithms to an introduction to deep learning. Aspiring data scientists, machine learning engineers, and researchers will find this resource valuable for building a strong theoretical and practical foundation in the field.

machine-learning-education data-science-training predictive-modeling artificial-intelligence-fundamentals algorithm-learning

About MLiFC

JannesKlaas/MLiFC

Course Material for the machine learning in financial context bootcamp

This provides course materials for students in business, economics, and social sciences to learn practical machine learning and its applications in finance. It offers interactive iPython notebooks covering topics from basic neural networks to computer vision and natural language processing. The content is designed to give non-technical students a foundation in machine learning for financial contexts.

financial-modeling business-analytics economic-forecasting data-literacy applied-machine-learning

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