Python for Machine Learning: From Fundamentals to Real-World Applications

"Python for Machine Learning: From Fundamentals to Real-World Applications" is your comprehensive roadmap to m

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Table of contents :
Title Page
Copyright Page
Python for Machine Learning: From Fundamentals to Real-World Applications
Chapter 1: Introduction to Machine Learning with Python
Chapter 2: Data Preprocessing and Exploration
Chapter 3: Supervised Learning: Regression
Chapter 4: Supervised Learning: Classification
Chapter 5: Unsupervised Learning: Clustering
Chapter 6: Dimensionality Reduction
Chapter 7: Model Selection and Hyperparameter Tuning
Chapter 9: Neural Networks and Deep Learning
Chapter 10: Natural Language Processing with Python
Chapter 12: Time Series Analysis and Forecasting
Chapter 13: Reinforcement Learning
Chapter 14: Model Deployment and Serving
Chapter 15: Ethics and Bias in Machine Learning
Chapter 16: Real-World Machine Learning Projects
Chapter 17: Case Studies in Industry

Python for Machine Learning: From Fundamentals to Real-World Applications

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