Credit Spread Plan to Generate 5% Weekly - Sheridanmentoring
Metaboliceffect - Sleep Formula
Bill Williams Package ( Discount 30% )
FOREX GENERATOR V6.1 PROFESSIONAL EDITION (JUN 2016)
Nils Rasmussen – Process Improvement for Effective Budgeting and Financial Reporting
Briantracy - Wealth Building Made Simple
Lewis Howes – Inner Circle
Sally Caldwell - Statistics Unplugged
Walter Bressert – Trading Techniques to Buy Bottoms and Sell Tops
Annie Cushing - Annielytics Dashboard Course
ETF Finder Formula Elite Package - Simpler Trading
Valuation Explained Simply Replays + Materials
Jyh-Shing Roger Jang - Neuro-Fuzzy and Soft Computing
Mary Farrell - Spain in the EU
John J.Murphy – Intermarket Technical Analysis
ATS-3200 v5.0.2 (Aug 2015)
John Murphy – Intermarket Technical Analysis
Philip Gotthelf – Precious Metals Trading
ACTIVEDAYTRADER – SWINGING FOR THE FENCES
Woodies CCI Method
TRADING CALENDARS AND DOUBLE DIAGONALS FOR INCOME IN 2016
Tailopez - TL – 12 FOUNDATIONS
B.O'Neill Wyss - Fundamentals of the Stock Market
Michael Sincere – 101 Investment Lessons from the Wizards of Wall Street
Udemy - Laravel For Beginners Bootcamp – Become A Master Developer!
Michael E.Edleson – Value Averaging
Day Trading Masterclass
Udemy - AWS Certified SysOps Administrator – Associate 2019
Master Trader Program 2021 - Mark Minervini
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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