What you'll learn:
- Crawl pages for data (Data mining)
- Implement and use recommendation algorithms
- Understand how popular services such as Facebook, Instragram and Amazon recommend items to their users.
Python - Data Mining and Machine Learning is a comprehensive course designed to teach you how to use Python for data mining and machine learning. Whether you're a beginner or an experienced programmer, this course will provide you with the tools and knowledge you need to work with data and build machine learning models using Python.
The course starts with an introduction to data mining and machine learning, including an overview of common machine learning algorithms and techniques. You'll also learn how to use Python's NumPy and Pandas libraries to work with data, as well as how to use Jupyter Notebooks for data analysis and visualization.
Next, you'll learn how to build machine learning models using Python's Scikit-learn library. You'll learn how to preprocess data, split it into training and testing sets, and use various machine learning algorithms such as linear regression, decision trees, and random forests to build predictive models.
Throughout the course, you'll work on practical, real-world projects that will help you apply your newfound knowledge and skills. These projects include predicting stock prices, analyzing customer reviews, and building a self-driving car using reinforcement learning.
By the end of the course, you'll have a deep understanding of data mining and machine learning techniques, as well as the tools and techniques you need to build effective machine learning models using Python. Whether you're a data analyst, a data scientist, or a machine learning engineer, this course will provide you with the skills you need to excel in your career.
