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/1. Introduction/
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1. Course Promotion Video.mp4
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33.4 MB
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1. Course Promotion Video.vtt
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3.7 KB
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2. A special message for hard of hearing and ESL students.mp4
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18.9 MB
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2. A special message for hard of hearing and ESL students.vtt
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1.3 KB
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3. Thank you for investing in this Course!.mp4
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15.5 MB
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3. Thank you for investing in this Course!.vtt
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1.5 KB
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4. Course Overview.mp4
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38.6 MB
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4. Course Overview.vtt
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5.6 KB
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4.1 Course Syllabus.pdf.pdf
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270.9 KB
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5. Secret sauce inside! How to get the most out of this course..mp4
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25.5 MB
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5. Secret sauce inside! How to get the most out of this course..vtt
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7.2 KB
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/10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/
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1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4
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99.0 MB
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1. Foundations of Machine Learning and Data Science - Definitions and concepts..vtt
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6.8 KB
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2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4
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79.3 MB
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2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.vtt
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6.5 KB
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3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4
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127.2 MB
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3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.vtt
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8.8 KB
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/11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/
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1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4
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99.5 MB
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1. Introducing the essential modules for Machine Learning, and NumPy Basics.vtt
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8.5 KB
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2. Pandas and Matplotlib.mp4
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103.8 MB
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2. Pandas and Matplotlib.vtt
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11.5 KB
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3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4
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87.8 MB
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3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.vtt
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6.6 KB
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/12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/
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1. A Titanic Example - Getting our start..mp4
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93.1 MB
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1. A Titanic Example - Getting our start..vtt
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11.0 KB
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2. A Titanic Example - Understanding the data set..mp4
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77.0 MB
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2. A Titanic Example - Understanding the data set..vtt
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12.2 KB
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3. A Titanic Example - Understanding the data set in regards to survival.mp4
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57.4 MB
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3. A Titanic Example - Understanding the data set in regards to survival.vtt
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8.7 KB
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4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4
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120.1 MB
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4. A Titanic Example - Preparing the right data and applying a basic algorithm.vtt
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13.0 KB
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5. A Titanic Example - Applying regression algorithms..mp4
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52.7 MB
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5. A Titanic Example - Applying regression algorithms..vtt
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6.4 KB
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6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).mp4
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58.9 MB
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6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).vtt
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5.9 KB
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6.1 tree-pruned.pdf.pdf
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27.0 KB
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6.2 tree-overfit.pdf.pdf
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55.2 KB
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/13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/
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1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4
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106.3 MB
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1. Conclusions - for our Titanic Example, important concepts and where to go next!.vtt
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7.1 KB
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/14. Retired Lectures/
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1. #4 - Secret sauce inside! How to get the most out of this course.mp4
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32.3 MB
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1. #4 - Secret sauce inside! How to get the most out of this course.vtt
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6.6 KB
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2. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....mp4
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33.9 MB
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2. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....vtt
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11.1 KB
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/15. Bonus Content/
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1. Bonus Article - The startling breakthrough in Machine Learning from 2016..html
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8.0 KB
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1.1 The startling breakthrough in Machine Learning from 2016.pdf.pdf.pdf
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457.3 KB
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/2. Core Concepts/
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1. Core Concepts Overview.mp4
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31.6 MB
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1. Core Concepts Overview.vtt
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2.7 KB
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10. What is Machine Learning - Part 1 - The ideas.mp4
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40.2 MB
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10. What is Machine Learning - Part 1 - The ideas.vtt
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18.4 KB
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11. What is Machine Learning - Part 2 - An Example.mp4
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25.5 MB
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11. What is Machine Learning - Part 2 - An Example.vtt
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10.7 KB
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12. What is data science.mp4
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19.4 MB
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12. What is data science.vtt
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8.2 KB
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13. Recap & How do these relate to each other.mp4
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11.4 MB
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13. Recap & How do these relate to each other.vtt
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5.4 KB
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13.1 byds-diagram.pdf.pdf
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277.6 KB
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2. Computer Science - the `Train Wreck' Definition.mp4
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3.7 MB
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2. Computer Science - the `Train Wreck' Definition.vtt
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1.4 KB
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3. What's Data I can see data everywhere!.mp4
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23.9 MB
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3. What's Data I can see data everywhere!.vtt
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9.0 KB
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4. Structured vs Unstructured Data.mp4
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9.6 MB
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4. Structured vs Unstructured Data.vtt
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3.7 KB
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5. Structured and Unstructured Data.html
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0.1 KB
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6. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....mp4
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34.1 MB
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6. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....vtt
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14.9 KB
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7. What's big data.mp4
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25.3 MB
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7. What's big data.vtt
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10.0 KB
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8. Big Data - Quiz.html
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0.1 KB
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9. What is Artificial Intelligence (AI).mp4
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45.3 MB
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9. What is Artificial Intelligence (AI).vtt
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19.6 KB
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/3. Impacts, Importance and examples/
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1. Impacts, Importance and examples - Overview.mp4
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13.5 MB
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1. Impacts, Importance and examples - Overview.vtt
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1.1 KB
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2. Why is this important now.mp4
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27.1 MB
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2. Why is this important now.vtt
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11.1 KB
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3. Computers exploding! - The explosive growth of computer power explained..mp4
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76.0 MB
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3. Computers exploding! - The explosive growth of computer power explained..vtt
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17.7 KB
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4. What problems does Machine Learning Solve.mp4
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17.9 MB
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4. What problems does Machine Learning Solve.vtt
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7.7 KB
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5. Where it's transforming our lives.mp4
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34.7 MB
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5. Where it's transforming our lives.vtt
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15.3 KB
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/4. The Machine Learning Process/
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1. The Machine Learning Process - Overview.mp4
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21.0 MB
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1. The Machine Learning Process - Overview.vtt
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2.3 KB
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2. 5 Step Machine Learning Process Overview.mp4
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6.5 MB
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2. 5 Step Machine Learning Process Overview.vtt
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2.8 KB
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3. 1 - Asking the right question.mp4
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8.5 MB
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3. 1 - Asking the right question.vtt
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4.7 KB
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4. 2 - Identifying, obtaining, and preparing the right data.mp4
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33.7 MB
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4. 2 - Identifying, obtaining, and preparing the right data.vtt
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18.2 KB
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5. 3 - Identifying and applying a ML Algorithm.mp4
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33.1 MB
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5. 3 - Identifying and applying a ML Algorithm.vtt
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18.6 KB
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6. 4 - Evaluating the performance of the model and adjusting.mp4
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11.9 MB
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6. 4 - Evaluating the performance of the model and adjusting.vtt
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7.2 KB
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7. 5 - Using and presenting the model.mp4
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5.6 MB
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7. 5 - Using and presenting the model.vtt
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3.3 KB
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8. Machine Learning - Process.html
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0.1 KB
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/5. How to apply Machine Learning for Data Science/
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1. How to apply Machine Learning for Data Science - Overview.mp4
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5.8 MB
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1. How to apply Machine Learning for Data Science - Overview.vtt
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0.9 KB
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2. Where to begin your journey.mp4
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3.6 MB
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2. Where to begin your journey.vtt
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1.5 KB
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3. Common platforms and tools for Data Science.mp4
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6.6 MB
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3. Common platforms and tools for Data Science.vtt
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3.2 KB
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4. Data Science using - R.mp4
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5.8 MB
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4. Data Science using - R.vtt
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3.4 KB
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5. Data Science using - Python.mp4
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7.7 MB
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5. Data Science using - Python.vtt
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3.8 KB
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6. Data Science using SQL.mp4
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5.9 MB
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6. Data Science using SQL.vtt
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2.9 KB
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7. Data Science using Excel.mp4
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5.3 MB
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7. Data Science using Excel.vtt
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3.0 KB
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8. Data Science using RapidMiner.mp4
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3.5 MB
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8. Data Science using RapidMiner.vtt
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1.9 KB
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9. Cautionary Tales.mp4
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4.8 MB
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9. Cautionary Tales.vtt
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3.0 KB
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/6. Conclusion/
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1. All done! What's next.mp4
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6.5 MB
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1. All done! What's next.vtt
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1.2 KB
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/7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/
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1. Introduction and Anaconda Installation.mp4
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81.6 MB
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1. Introduction and Anaconda Installation.vtt
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6.0 KB
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2. What will we cover!.mp4
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101.0 MB
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2. What will we cover!.vtt
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8.2 KB
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3. Introduction and Setup.mp4
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125.6 MB
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3. Introduction and Setup.vtt
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10.0 KB
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/8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/
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1. Crash course in Python - Beginning concepts.mp4
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64.6 MB
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1. Crash course in Python - Beginning concepts.vtt
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7.5 KB
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1.1 python_3.x_cheat_sheet.pdf.pdf
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87.0 KB
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2. Crash course in Python - Strings, Slices and Lists!.mp4
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70.7 MB
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2. Crash course in Python - Strings, Slices and Lists!.vtt
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8.6 KB
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3. Crash course in Python - Expressions, Operators, Conditions and Loops.mp4
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54.7 MB
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3. Crash course in Python - Expressions, Operators, Conditions and Loops.vtt
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6.9 KB
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4. Crash course in Python - Functions, Scope, Dictionaries and more!.mp4
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59.8 MB
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4. Crash course in Python - Functions, Scope, Dictionaries and more!.vtt
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6.7 KB
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/9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/
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1. Hands on Running Python.mp4
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100.0 MB
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1. Hands on Running Python.vtt
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12.0 KB
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/
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[FreeCourseLab.com].url
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0.1 KB
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Total files 133
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