Python Numpy and Python Scikit for Beginners
Python NumPy for Beginners: Unleash the Power of Data Science with Easy-to-Follow Tutorials Are you eager to dive into
144 48 262KB
English Pages 330 Year 2023
Table of contents :
Chapter 1: Introduction to Python NumPy
Chapter 2: Installing NumPy and Setting Up Your Environment
Chapter 3: Understanding NumPy Arrays
Chapter 4: Array Operations and Manipulation
Chapter 5: Indexing and Slicing in NumPy
Chapter 6: Broadcasting in NumPy
Chapter 7: NumPy Functions for Statistical Analysis
Chapter 8: Working with Multi-dimensional Arrays
Chapter 9: Data Visualization with Matplotlib
Chapter 10: Data Analysis and Transformation
Chapter 11: NumPy and Pandas Integration
Chapter 12: Linear Algebra with NumPy
Chapter 13: Machine Learning with NumPy
Chapter 14: Time Series Analysis with NumPy
Chapter 15: Advanced Topics and Resources
**Chapter 1: Introduction to Python Scikit**
**Chapter 2: Setting Up Your Data Science Environment**
**Chapter 3: Exploring Data with Python Scikit**
**Chapter 4: Data Preprocessing and Cleaning**
**Chapter 5: Data Visualization with Python Scikit**
**Chapter 6: Machine Learning Basics**
**Chapter 7: Supervised Learning with Python Scikit**
**Chapter 8: Unsupervised Learning with Python Scikit**
**Chapter 9: Model Evaluation and Selection**
**Chapter 10: Feature Engineering and Selection**
**Chapter 11: Deep Learning with Python Scikit**
**Chapter 12: Natural Language Processing**
**Chapter 13: Time Series Analysis**
**Chapter 14: Advanced Topics in Data Science**
**Chapter 15: Conclusion and Next Steps**
