10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 127.2 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 125.6 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 120.1 MB
13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 106.3 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 103.8 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 101.0 MB
9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 100.0 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 99.5 MB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 99.0 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 93.1 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 87.8 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 81.6 MB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 79.3 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..mp4 77.0 MB
3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 76.0 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.mp4 70.7 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.mp4 64.6 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.mp4 59.8 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).mp4 58.9 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. A Titanic Example - Understanding the data set in regards to survival.mp4 57.4 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Crash course in Python - Expressions, Operators, Conditions and Loops.mp4 54.7 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/5. A Titanic Example - Applying regression algorithms..mp4 52.7 MB
2. Core Concepts/9. What is Artificial Intelligence (AI).mp4 45.3 MB
2. Core Concepts/10. What is Machine Learning - Part 1 - The ideas.mp4 40.2 MB
1. Introduction/4. Course Overview.mp4 38.6 MB
3. Impacts, Importance and examples/5. Where it's transforming our lives.mp4 34.7 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.vtt 13.0 kB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..vtt 12.2 kB
9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.vtt 12.0 kB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.vtt 11.5 kB
3. Impacts, Importance and examples/2. Why is this important now.vtt 11.1 kB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..vtt 11.0 kB
2. Core Concepts/11. What is Machine Learning - Part 2 - An Example.vtt 10.7 kB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.vtt 10.0 kB
2. Core Concepts/7. What's big data.vtt 10.0 kB
2. Core Concepts/3. What's Data I can see data everywhere!.vtt 9.0 kB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.vtt 8.8 kB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. A Titanic Example - Understanding the data set in regards to survival.vtt 8.7 kB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.vtt 8.6 kB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.vtt 8.5 kB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.vtt 8.2 kB
2. Core Concepts/12. What is data science.vtt 8.2 kB
15. Bonus Content/1. Bonus Article - The startling breakthrough in Machine Learning from 2016..html 8.0 kB
3. Impacts, Importance and examples/4. What problems does Machine Learning Solve.vtt 7.7 kB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.vtt 7.5 kB
1. Introduction/5. Secret sauce inside! How to get the most out of this course..vtt 7.2 kB
4. The Machine Learning Process/6. 4 - Evaluating the performance of the model and adjusting.vtt 7.2 kB
13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.vtt 7.1 kB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Crash course in Python - Expressions, Operators, Conditions and Loops.vtt 6.9 kB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..vtt 6.8 kB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.vtt 6.7 kB
14. Retired Lectures/1. #4 - Secret sauce inside! How to get the most out of this course.vtt 6.6 kB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.vtt 6.6 kB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.vtt 6.5 kB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/5. A Titanic Example - Applying regression algorithms..vtt 6.4 kB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.vtt 6.0 kB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).vtt 5.9 kB
1. Introduction/4. Course Overview.vtt 5.6 kB
2. Core Concepts/13. Recap & How do these relate to each other.vtt 5.4 kB
4. The Machine Learning Process/3. 1 - Asking the right question.vtt 4.7 kB
5. How to apply Machine Learning for Data Science/5. Data Science using - Python.vtt 3.8 kB