Learn to model and predict stock data values in Python using linear models, decision trees, random forests, neural networks, and modern portfolio theory.

It explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.

First, let's explore the data. Any time we begin a machine learning (ML) project, we need to first do some exploratory data analysis (EDA) to familiarize ...

Master Python 3 programming fundamentals for Data Science and Machine Learning with focus on Finance. Understand how to leverage the power of Python.

Get started on using Python for Machine learning with this free course. Learn in a step-by-step fashion to create a Machine Learning algorithm for trading.

In this course, we focus on the use of ML in analysis of empirical distributions of economic variables, with a key emphasis on developing financial theory.

What you'll learn · Write custom Python code and use existing Python libraries to build and analyse efficient portfolio strategies. · Write custom Python code ...

Learn how to use tree-based machine learning models to predict future values of a stock's price, as well as how to use forest-based machine learning methods for ...

It offers an excellent collection of well-tested libraries and techniques for developing machine learning applications. In this instructor-led, live training, ...

37,99 $ В наличии As an expert Python programmer and one of the globally top-rated Excel users, Hayden brings unparalleled technical expertise to the financial world.