Mastering Machine Learning Algorithms using Python
Build and Optimize ML Models Using Supervised and Unsupervised Algorithms
Created by Manas Dasgupta
Explore the world of machine learning by building and optimizing models using Python. Develop a solid understanding of key algorithms and statistical techniques while working on hands-on projects. Gain practical skills to analyze data and create effective solutions for real-world problems.
Packt | Jul 2024 | 1715 min
What You Will Learn
You will start by learning core concepts and essential terminology, then move into practical Python programming for data science. Through guided tutorials and hands-on projects, you will implement and optimize popular algorithms, gaining experience with real datasets and practical workflows.
Key Features
- Build and evaluate supervised and unsupervised machine learning models
- Use Python libraries like NumPy and pandas for data analysis and manipulation
- Apply techniques to tune, optimize, and validate machine learning models
Target Audience
Ideal for aspiring data scientists, analysts, and AI professionals who have basic programming knowledge but are new to machine learning. If you want to build a strong foundation and confidently apply machine learning techniques to real data, this course is a great fit.
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