George Cole - Graphs, Application to Speculation
WEEKLY WIRES CLASS - SIMPLER TRADING
Paul James – Maps Mentor 2.0
Ben Littlefield & Dr. Dan - Pay Per Call Landlord
Udemy - Process Visualization with HMI SCADA (PLC III)
Sacredscience – W.F.Whitehead – Occultism Simplified
John Nemo – Webinars That Work
Jason Hornung – 7-Figure Agency Blueprint
Management Dilemmas - The Theory of Constraints Approach to Problem Identification and Solutions
John Demartini – 7 Powers Package
Terry Townsend – Cotton Trading Manual
Alex West - Tesla Secrets Code
Price Action Trading Vol.2 - Fractalflow
Description
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
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