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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OPTIONPIT – MAXIMIZING PROFITS WITH WEEKLY OPTIONS TRADING
ACADEMY - TRADING COURSES BUNDLE
TRIFORCE TRAINING Part 2
Mark McRae – Traders Secret Library
J.Dupacova – Stochastic Modeling in Economics and Finance
Roger and Barry – InflueX
Jon Dykstra – Pinterest Magnate
STOCK OPTIONS BASICS COURSE - Follow Me Trades
Jorn Altmann – Grid Economics & Business Models
ACTIVEDAYTRADER – BOND TRADING BOOTCAMP
Evelina M.Tainer - Using Economic Indicators to Improve Investment Analysis
Basecamptrading - Everyday Profits Strategy
Hector Deville – Trading 3 SMA System
Peter J.Rousseeuw – Robust Regression and Outlier Detection
FOLLOWMETRADES – MASTER TRADER COURSE
Raymond Merriman – The Ultimate Book on Stock Market Timing (VOL II) – Geocosmic Correlations to Investment Cycles
MASTERINTRADING – GRAND SLAM OPTIONS
M. Constantino, P. Colletti – Information Extraction in Finance
David A.Strachman – Funds of Funds Investing
Dan Miller – The Forex Legacy (theforexlegacy.com)
Alex Szweda – Elliott Wave Theory With Fibonacci
Suresh Sundaresan – Continuous-Time Methods in Finance. A Review and an Assessment
Elise Darma – InstaGrowth Boss
Darrell Duffie – Credit Risk
Joarder Kamruzzaman – Artificial Neural Networks in Finance & Manufacturing