Tematyka

  • Machine Learning course with practical examples

    Welcome to the machine learning course that focuses on basic concepts and real-world examples, particularly predicting stock prices based on Yahoo Finance data. This repository is a dynamic document that will continue to develop as the course progresses.

    The course will follow a predicting stock prices use case, and you will learn the essential concepts and techniques of machine learning for stock price prediction.

    Throughout this course, we will cover the fundamental concepts and techniques of machine learning, including supervised, unsupervised, and reinforcement learning. We will also provide real-world examples to help you better understand how these techniques are used in practice. Additionally, we will introduce you to tools and libraries commonly used in machine learning, such as Python, pandas, and scikit-learn.

    Please note that this repository will be updated frequently as we progress through the course, so be sure to check back regularly for updates. At the end of the course, there will be a final test to evaluate your understanding of the material. We hope you find this course informative and engaging!

        


  • Introduction to Machine Learning for Stock Price Prediction

  • Preparing Stock Market Data for Machine Learning

  • Introduction to Machine Learning Models for Stock Price Prediction

  • Training and Deploying Machine Learning Models

  • Machine Learning for Stock Price Prediction: Final Test