Mastering Probability and Statistics in Python
Statistical and Probability foundations for ML: Statistics, Probability, and Bayes' Classifier
AOCreated by AI Sciences, AI Sciences OU
Build a solid foundation in probability and statistics using Python, focusing on practical skills for data science and machine learning. Start from the basics and gradually move into deeper concepts, all while applying what you learn to real-world datasets.
Packt | Jun 2021 | 750 min
What You Will Learn
You will begin with essential theory, then immediately put ideas into practice by coding in Python. Each topic is reinforced through hands-on exercises that use real data, helping you connect concepts to practical applications. Step by step, you will see how probability and statistics power machine learning.
Key Features
- Understand core statistical and probability concepts for data science
- Apply probabilistic reasoning to machine learning problems using Python
- Gain hands-on experience by coding solutions with real datasets
Target Audience
Perfect for beginners eager to break into data science or machine learning, especially those with a curiosity for numbers and programming. If you want to strengthen your analytical skills and learn how to use Python for real-world data analysis, you will find this path accessible and rewarding. No prior experience is required.
