The tools and techniques that you need to get really good at applied machine learning, really fast.
Here is everything you get in this 28-book set:
- Machine Learning Mastery With R
 - Deep Learning With Python
 - XGBoost With Python
 - Master Machine Learning Algorithms
 - ML Algorithms From Scratch
 - Machine Learning Mastery With Weka
 - Machine Learning Mastery With Python
 - Time Series Forecasting With Python
 - LSTM Networks With Python
 - Deep Learning for NLP
 - Linear Algebra for Machine Learning
 - Statistical Methods for Machine Learning
 - Deep Learning for Time Series
 - Better Deep Learning
 - Deep Learning for Computer Vision
 - GANs with Python
 - Probability for Machine Learning
 - Imbalanced Classification with Python
 - Data Preparation for Machine Learning
 - Ensemble Learning Algorithms
 - Optimization for Machine Learning
 - Calculus for Machine Learning
 - Python for Machine Learning
 - Building Transformer Models with Attention
 - Deep Learning with PyTorch
 - Maximizing Productivity with ChatGPT
 - Machine Learning in OpenCV
 - The Beginner’s Guide to Data Science
 



