Data Science and Machine Learning (Theory and Projects) A to Z
Learn Statistics, Machine Learning, Deep Learning, and Reinforcement Learning for Data Science in 100 Hours
Build a strong foundation in data science and machine learning, starting from the basics and moving into advanced topics like deep learning and reinforcement learning. Work through real Python examples and practical projects to develop both theoretical understanding and hands-on skills.
Packt | Nov 2021 | 6467 min
What You Will Learn
You will start with core concepts in statistics and data analysis, then move step by step into machine learning and deep learning. Each topic includes hands-on coding exercises and practical projects, so you can immediately apply what you learn. By practicing with real datasets, you'll gain experience that translates directly to real-world scenarios.
Key Features
- Visualize and analyze real-world data using Python tools and libraries
- Apply key machine learning and deep learning techniques to solve practical problems
- Build and test models for tasks like classification, prediction, and reinforcement learning
Target Audience
Perfect for beginners or those switching to data science from another field. If you want to learn how to use Python for data analysis, machine learning, and deep learning, and you're eager to work on practical projects, you'll fit right in. No prior experience is needed-just curiosity and a willingness to learn.
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