Getting Started with Python Machine Learning: Building Your First Linear Regression Model from Scratch
Explore core concepts of Python machine learning, covering supervised, unsupervised, and reinforcement learning principles, along with deep learning model applications. Learn about data processing libraries like NumPy and Pandas, deep learning frameworks including TensorFlow and PyTorch, and understand data processing workflows and model evaluation methods
Python Machine Learning for Beginners: A Practical Guide to Data Preprocessing from Scratch
A comprehensive guide to Python applications in machine learning, covering fundamental concepts, algorithm implementation, and framework usage, including supervised learning, unsupervised learning, reinforcement learning, and practical applications with NumPy, Pandas, and Scikit-learn
