Machine Learning and Data Science with Python: A Complete Beginners Guide
Comprehensive beginners guide for machine learning and data science with Python for programming beginners
Created by Abhilash Nelson
Get a hands-on introduction to machine learning and data science using Python. Explore how to prepare data, build predictive models, and understand key concepts, all designed for absolute beginners. Start building practical skills for a future in tech.
Packt | May 2019 | 619 min
What You Will Learn
You will follow a clear, step-by-step path starting from installing Python to building and refining your own machine learning models. Each topic is broken down into manageable sections, with practical examples and explanations to help you understand and apply new skills as you go.
Key Features
- Set up Python and essential libraries for data science projects
- Build and evaluate machine learning models for real-world predictions
- Learn to improve model performance with tuning and ensemble methods
Target Audience
Perfect for anyone new to programming or data science who wants to start a career in machine learning. No prior experience is needed. If you are curious about how machines learn from data and want to use Python for real-world projects, this guide is a great starting point.
