explanation
Machine Learning for Finance is a training course on machine learning technologies to solve major financial problems. This course is suitable for financial professionals looking to enter this field. In fact, this course shows you how to solve common and effective problems institutions face in the financial industry. The course focuses on the field of machine learning and covers a variety of analysis tools such as NumPy, Matplotlib, and Pandas. The course is full of simulations of various problems, and in addition to posing problems, it also teaches practical solutions. By the end of the course, you will be equipped with all the financial tools, machine learning, and deep learning you can use in the field of economics and finance.
Here’s what you’ll learn in our Machine Learning for Finance course:
- How to deal with financial problems and financial investments
- Review technical characteristics, learn EDA, and understand financial data considerations
- Build a model based on neural networks to predict product prices
- Improve your machine learning skills with general effects models like Random Forest and XGBoost.
- Improve your understanding of neural networks and build regression-based models.
- How to detect fraudulent transactions by building a fraud detection model using a classification model
Course specifications
Publisher: Udemy
teacher: fact publishing
Language: English
Level: average
Lesson: 49
Duration: 4 hours and 30 minutes
Course Topics:
Course Prerequisites:
Basic knowledge of Python, finance, and machine learning
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3GB