Introduction to Intermediate Data Science

Welcome to the Intermediate section! Here, you'll expand your knowledge and skills in data science as you delve into more complex concepts and techniques. This section is designed to build on the foundational topics you've learned, preparing you for advanced applications in the field.

Explore the subcategories below to guide your learning journey:

• Statistics and Probability: Dive deeper into statistical methods...
• Linear Algebra: Strengthen your understanding of linear algebra...
• Data Science: Gain practical experience with essential tools...
  • Scikit-learn: Discover how to preprocess data effectively...
  • NumPy: Dive into advanced numerical computing with NumPy...
  • TensorFlow: Begin your exploration of TensorFlow...
  • PyTorch: Discover PyTorch and its key features...
  • Basic Machine Learning Concepts: Explore key machine learning concepts...

As you progress through this section, you'll not only enhance your technical skills but also gain practical insights that are essential for tackling real-world data challenges. Let’s get started on this exciting journey into the world of intermediate data science!