The Complete Machine Learning Course with Python
Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!
Created by Anthony Ng
Explore machine learning by building real projects using Python. You'll work hands-on with algorithms like SVM, regression, and clustering to solve practical problems. By the end, you'll have a portfolio of projects that showcase your new skills and help you stand out in data science.
Packt | Oct 2018 | 1102 min
What You Will Learn
You'll start by setting up your Python environment and gradually move through each algorithm with clear, step-by-step guidance. Each project is designed to reinforce your understanding as you apply new concepts directly to real data. Along the way, you'll learn how to evaluate models, engineer features, and communicate your results effectively.
Key Features
- Build and train machine learning models to solve real-world problems
- Visualize and interpret data using Matplotlib and Seaborn
- Apply supervised and unsupervised learning techniques confidently
Target Audience
Perfect for beginners eager to break into machine learning or anyone with basic Python skills looking to apply algorithms to real-world data. If you want to build a strong portfolio, transition into data science, or enhance your ability to analyze and present data, you'll find practical value here.
