Machine Learning for Absolute Beginners - Level 2
A beginner's guide to pre-processing data for data science projects
Created by Idan Gabrieli
Get hands-on with Python and the pandas library as you learn how to prepare real-world data for machine learning. You will build a solid foundation in Python basics and discover practical techniques to clean and organize data for data science projects.
Packt | Dec 2020 | 239 min
What You Will Learn
You will start by setting up your Python environment and learning core programming concepts. Step by step, you will explore pandas for loading, analyzing, and cleaning data. Through practical activities, you will develop skills to handle messy datasets and prepare them for machine learning.
Key Features
- Build confidence using Python and pandas for data preparation tasks
- Master techniques for cleaning and exploring large datasets
- Learn to organize and transform data for use in machine learning models
Target Audience
Perfect for beginners interested in data science or machine learning, especially those with little or no coding experience. If you want to understand how to get data ready for analysis and build a strong Python foundation, this course is designed for you.
