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Opening Credits
1/15/2023
Opening Credits - Machine Learning Beginners
1/15/2023
Machine Learning Introduction Beginners
1/15/2023
Chapter 1 - What is Machine Learning
1/15/2023
Chapter 2 - Facts about Machine Learning
1/15/2023
Chapter 3 - Types of Machine Learning
1/15/2023
Chapter 4 - Top Six Real Life Applications of Machine Learning
1/15/2023
Chapter 5 - Machine Learning Algorithms
1/15/2023
Chapter 6 - Machine Learning Projects
1/15/2023
Chapter 7 - Artificial Intelligence
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Conclusion
1/15/2023
Closing Credits - Beginners
1/15/2023
Opening credits intermediate
1/15/2023
Introduction - Intermediate
1/15/2023
Chapter 1 - Practical Examples of Machine Learning
1/15/2023
Chapter 2 - Advantages and Disadvantages of Machine Learning
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Chapter 3 - How to Create and Train Machine Learning Models
1/15/2023
Chapter 4 - An Introduction to Deep Learning
1/15/2023
Chapter 5 - An Introduction to Neural Networks
1/15/2023
Chapter 6 - Building Your First Algorithm in Python
1/15/2023
Chapter 7 - How to Build An Algorithm in Python
1/15/2023
Chapter 8 - How To Evaluate Machine Learning Algorithms in Python
1/15/2023
Chapter 9 - How To Develop a Neural Network in Python using Keras
1/15/2023
Conclusion - Intermediate
1/15/2023
Closing Credits - Intermediate
1/15/2023
Opening Credits - Advanced Machine Learning
1/15/2023
Introduction - Advanced Machine Learning
1/15/2023
Chapter 1 - Machine Learning versus Deep Learning
1/15/2023
Chapter 2 - Steps in Building a Machine Learning System
1/15/2023
Chapter 3 - Why Use Python for Machine Learning
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Chapter 4 - Supervised Algorithms Implementation
1/15/2023
Chapter 5 - Unsupervised Learning Algorithms
1/15/2023
Chapter 6 - Python Environment for Deep Learning
1/15/2023
Chapter 7 - How to Evaluate the Performance of a Deep Learning Model
1/15/2023
Chapter 8 - How to Save and Load Deep Learning Models
1/15/2023
Chapter 9 - Reducing Dropouts in Deep Learning Models
1/15/2023
Conclusion - Advanced Machine Learning
1/15/2023
Closing Credits - Advanced Machine Learning
1/15/2023
Opening Credits - Exploration
1/15/2023
Introduction - Exploration
1/15/2023
Chapter 1 - An Introduction to Descriptive Statistics
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Chapter 2 - An Introduction to Artificial Intelligence
1/15/2023
Chapter 3 - The Artificial Intelligence Ecosystem
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Chapter 4 - Big Data and Artificial Intelligence
1/15/2023
Chapter 5- Building A Genetic Algorithm In Python
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Chapter 6 - Activation Functions Used to Develop Deep Learning Models
1/15/2023
Chapter 7 - Building A Neural Network in R
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Chapter 8 - Fitting A Neural Network
1/15/2023
Conclusion - Exploration
1/15/2023
Closing credits - Exploration
1/15/2023
Closing Credits - Machine Learning Bundle
1/15/2023