Bradley Peter. Mastering Excel VBA and Machine Learning: A Complete, Step-by-Step Guide To Learn and Master Excel VBA and Machine Learning From Scratch

Independently published, 2019. — 812 р. — ISBN: 1091485267.Graphics in this book are printed in black and white.
This book includes:
Excel VBA : A Step-By-Step Tutorial For Beginners To Learn Excel VBA Programming From Scratch
Excel VBA : Intermediate Lessons in Excel VBA Programming for Professional Advancement
Excel VBA : A Step-By-Step Comprehensive Guide on Advanced Excel VBA Programming Techniques and Strategies
Excel VBA : A Comprehensive, Step-By-Step Guide On Excel VBA Finance For Data Reporting And Business Analysis
Excel VBA : A Step-by-Step Comprehensive Guide on Excel VBA Programming Tips and Tricks for Effective Strategies
Machine Learning For Beginners : A Comprehensive, Step-by-Step Guide to Learning and Understanding Machine Learning Concepts, Technology and Principles for Beginners
Machine Learning : A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning
Machine Learning : A Comprehensive, Step-by-Step Guide to Learning and Applying Advanced Concepts and Techniques in Machine LearningA Step-By-Step Tutorial For Beginners To Learn Excel VBA Programming From ScratchVBA Primer
Making Use of Data from Excel
If/Then Statements and Variables
Looping
Additional Tools
Errors to Watch out for While Debugging
Easy Mistakes To AvoidIntermediate Lessons in Excel VBA Programming for Professional AdvancementOne: VBA, A Primer
Two: How to Use Data from Excel
Three: Working With Loops
Four: Working With Conditional Statements
Five: Working With Strings
Six: Error Handling and Debugging
Seven: Mistakes to AvoidSourcesA Step-By-Step Comprehensive Guide on Advanced Excel VBA Programming Techniques and StrategiesOne: What Can You Do With VBA?
Two: VBA, A Primer
Three: How to Manipulate Data in Excel
Four: Fundamentals of VBA
Five: Working With Loops and Conditional Statements
Six: Data Types in VBA
Seven: Parts of the Program
Eight: Arrays
Nine: Working with Excel Workbooks and Worksheets
Ten: How to Redirect the Flow
Eleven: Error Handling
Twelve: Solutions and Additional ProgramsSourcesA Comprehensive, Step-By-Step Guide On Excel VBA Finance For Data Reporting And Business AnalysisIntroduction to VBA
The IDE
VBA, A Primer
Data Types
Decision Making Statements
Loops
Arrays
How to Manipulate Data in Excel
Working with Excel Workbooks and Worksheets
Automating Processes Using VBA
Error HandlingWill You Help Me?
SourcesA Step-by-Step Comprehensive Guide on Excel VBA Programming Tips and Tricks for Effective StrategiesFacts about VBA
Resources for VBA Help
How to Improve the Performance of Macros
Some Problems with Spreadsheets and How to Overcome Them
Sub ProceduresWill You Help Me?
SourcesA Comprehensive, Step-by-Step Guide to Learning and Understanding Machine Learning Concepts, Technology and Principles for BeginnersWhat is Machine Learning?
Facts about Machine Learning
Types of Machine Learning
Top Six Real Life Applications of Machine Learning
Machine Learning Algorithms
Machine learning Projects
Artificial IntelligenceResourcesA Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine LearningPractical Examples of Machine Learning
Advantages and Disadvantages of Machine Learning
How to Create and Train Machine Learning Models
An Introduction to Deep Learning
An Introduction to Neural Networks
Building Your First Algorithm in Python
How to Build an Algorithm in Python
How to Evaluate Machine Learning Algorithms in Python?
How to Develop a Neural Network in Python using KerasResourcesA Comprehensive, Step-by-Step Guide to Learning and Applying Advanced Concepts and Techniques in Machine LearningMachine-Learning versus Deep Learning
Steps in Building a Machine-Learning System
Why Use Python for Machine-Learning
Supervised Algorithms Implementation
Unsupervised Learning Algorithms
Python Environment for Deep Learning
How to Evaluate the Performance of a Deep Learning Model
How to Save and Load Deep Learning Models
Reducing Dropouts in Deep Learning ModelsResourcesA Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices and TechniquesAn introduction to Descriptive Statistics
An introduction to Artificial Intelligence
The Artificial Intelligence Ecosystem
Big Data and Artificial Intelligence
Building a Genetic Algorithm in Python
Activation Functions Used to Develop Deep Learning Models
Building a Neural Network in R
Fitting a Neural NetworkResources