Description
Machine Learning In Algorithmic Trading, the training course on machine learning in algorithmic trading has been published by Yudemy Academy. This course is designed to empower you with the knowledge and skills to apply machine learning techniques in algorithmic trading. In the financial world, machine learning has revolutionized business strategies. The system offers automation, pattern recognition, and the ability to manage large and complex data sets. However, it also comes with challenges such as model complexity, the risk of over-fitting, and the need to adapt to dynamic market conditions. This course aims to guide you through these challenges and rewards, providing you with a solid foundation in machine learning and its applications in algorithmic trading. This course begins with an in-depth look at the fundamentals of machine learning and covers key concepts and algorithms that are critical to algorithmic trading. You will learn how to use Python, a versatile and beginner-friendly language, to implement machine learning algorithms for business. With powerful Python libraries such as Pandas and NumPy, you can efficiently manage and process large and complex financial data sets.
As you progress through this course, you will learn how to use machine learning for predictive modeling. It involves studying historical market data to train a machine learning model that can make predictions about future market movements. These predictions can then be used to make more informed business decisions. You will also learn how to use machine learning to recognize patterns in market data. Machine learning algorithms excel at identifying complex patterns and relationships in large data sets, making it possible to discover trading signals and patterns that may not be obvious to human traders. At the end of this course, you will have a comprehensive understanding of how to use machine learning in algorithmic trading. From acquiring and pre-processing data to creating hyperparameters, partitioning data for evaluation, optimizing model parameters, predicting and evaluating performance, you will gain insight into the entire process. This course is designed to be accessible to beginners with a basic understanding of Python and machine learning concepts, making it an excellent choice for anyone interested in learning about algorithmic trading and machine learning.
What you will learn
- Understand the principles of machine learning and its applications in algorithmic trading.
- Learn how to implement machine learning algorithms to predict stock prices and make trading decisions.
- Familiarize yourself with real-world trading data and learn how to pre-process and analyze this data for machine learning.
- Learn how to evaluate the performance of machine learning models in the context of algorithmic trading.
Who is this course suitable for?
- Beginners in Python who are curious about data science
- Financial analysts and traders are looking to enhance their trading strategies using machine learning techniques.
- Data scientists and data analysts
- Computer science and mathematics students and professionals
- People with financial background and strong interest in machine learning
- Anyone interested in learning about algorithmic trading and machine learning
Details of the Machine Learning In Algorithmic Trading course
- Publisher: Udemy
- teacher : Dr. Ziad Francis
- English language
- Education level: all levels
- Number of courses: 73
- Training duration: 8 hours and 49 minutes
Chapters of the Machine Learning In Algorithmic Trading course
Course prerequisites
- Python Basics
- Trading Basics
Pictures
Sample video
Installation guide
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download link
File(s) password: www.downloadly.ir
Size
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