Description
Machine Learning for Finance is training in machine learning techniques to solve major financial problems. This course is suitable for financial specialists who wish to enter this field. In fact, this course shows you how you can solve general and effective problems that institutions face in the financial sector. This course focuses on the field of machine learning and covers various analytical tools such as NumPy, Matplotlib, and Pandas. This course is full of simulation of various problems which apart from raising problems, practical solutions are also taught. At the end of the course, you will be equipped with all the tools of finance, machine learning and deep learning to use in economics and finance.
What you will learn in the Machine Learning for Finance course:
- How to deal with financial problems and financial investments
- Learn technical feature review, EDA, and understand financial data considerations
- Build a model based on neural networks to predict product prices
- Improve your machine learning skills with general effect models like Random Forest and XGBoost
- Improve your understanding of neural networks and create regression-based models
- How to detect fraudulent transactions by building a fraud detection model using classification models
Course specifications
Publisher: Udemy
Instructors: Packt Edition
French language
Average level
Lessons: 49
Duration: 4 hours and 30 minutes
Course topics:
Course prerequisites:
Basic knowledge of Python, finance and machine learning.
Pictures
sample movie
Installation guide
After ripping, watch with your favorite player.
Subtitle: None
Quality: 1080p
Download link
File password(s): ngaur.com
Cut
3 GB