Mastering Data Science with Python: Best Practices and Techniques Using Built-in Datasets
Mastering Data Science with Python: Best Practices and Techniques Using Built-in Datasets by Ahmed Khorshid
English | September 27, 2024 | ISBN: N/A | ASIN: B0DJ5NPJ1W | 178 pages | EPUB | 0.78 Mb
English | September 27, 2024 | ISBN: N/A | ASIN: B0DJ5NPJ1W | 178 pages | EPUB | 0.78 Mb
Unlock the full potential of data science with Python in "Best Practices for Data Science with Python Using Built-in Datasets." This comprehensive guide is designed for both beginners and experienced practitioners who want to master data science techniques using Python's powerful libraries and built-in datasets.
Key Features:
- Comprehensive Coverage: Explore the entire data science workflow, from data preprocessing and exploratory data analysis to advanced machine learning techniques and model evaluation.
- Hands-On Examples: Gain practical experience with hands-on examples and case studies using popular built-in datasets like Iris, Boston Housing, and MNIST.
- Best Practices: Learn industry-standard best practices for reproducibility, version control, scalability, and ethical considerations in data science.
- Advanced Topics: Delve into advanced topics such as deep learning, natural language processing, and reinforcement learning, with insights into emerging trends like Explainable AI and Federated Learning.
- Tools and Libraries: Master essential Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow, and discover tools for parallel computing and big data processing.
About the Author:
Ahmed Khorshid, an expert in artificial intelligence and data science, brings years of experience and a passion for teaching to this comprehensive guide. With a focus on practical applications and best practices, Ahmed empowers readers to excel in the rapidly evolving field of data science.