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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
2BBFDD6E5A88E24EED32E3053DBA22EF7D972CF1
Source
Unverified
Total Size
2.45 GB
Total Files
100
Seeders
0
Leechers
2
Health
Score
2
Type
Bookware

File List

FileSize
1. Introduction/1. Course Promotion Video.mp431.88 MB
1. Introduction/1. Course Promotion Video.vtt3.59 KB
1. Introduction/2. A special message for hard of hearing and ESL students.mp418.05 MB
1. Introduction/2. A special message for hard of hearing and ESL students.vtt1.29 KB
1. Introduction/3. Thank you for investing in this Course!.mp414.74 MB
1. Introduction/3. Thank you for investing in this Course!.vtt1.47 KB
1. Introduction/4. Course Overview.mp436.82 MB
1. Introduction/4. Course Overview.vtt5.44 KB
1. Introduction/4.1 Course Syllabus.pdf.pdf264.51 KB
1. Introduction/5. Secret sauce inside! How to get the most out of this course..mp424.33 MB
1. Introduction/5. Secret sauce inside! How to get the most out of this course..vtt7.06 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..mp494.45 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..vtt6.66 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.mp475.59 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.vtt6.34 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.mp4121.32 MB
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.vtt8.6 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.mp494.93 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.vtt8.29 KB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp498.99 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.vtt11.23 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.mp483.74 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.vtt6.42 KB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp488.82 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..vtt10.75 KB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..mp473.44 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..vtt11.95 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.mp454.75 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.vtt8.53 KB
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.mp4114.57 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.vtt12.74 KB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/5. A Titanic Example - Applying regression algorithms..mp450.24 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/5. A Titanic Example - Applying regression algorithms..vtt6.27 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).mp456.12 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).vtt5.71 KB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6.1 tree-overfit.pdf.pdf53.91 KB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6.2 tree-pruned.pdf.pdf26.36 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!.mp4101.35 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!.vtt6.92 KB
14. Retired Lectures/1. #4 - Secret sauce inside! How to get the most out of this course.mp430.83 MB
14. Retired Lectures/1. #4 - Secret sauce inside! How to get the most out of this course.vtt6.47 KB
14. Retired Lectures/2. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....mp432.3 MB
14. Retired Lectures/2. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....vtt10.86 KB
15. Bonus Content/1. Bonus Article - The startling breakthrough in Machine Learning from 2016..html7.78 KB
15. Bonus Content/1.1 The startling breakthrough in Machine Learning from 2016.pdf.pdf.pdf446.57 KB
2. Core Concepts/1. Core Concepts Overview.mp430.16 MB
2. Core Concepts/1. Core Concepts Overview.vtt2.62 KB
2. Core Concepts/10. What is Machine Learning - Part 1 - The ideas.mp438.38 MB
2. Core Concepts/10. What is Machine Learning - Part 1 - The ideas.vtt17.93 KB
2. Core Concepts/11. What is Machine Learning - Part 2 - An Example.mp424.3 MB
2. Core Concepts/11. What is Machine Learning - Part 2 - An Example.vtt10.42 KB
2. Core Concepts/12. What is data science.mp418.48 MB
2. Core Concepts/12. What is data science.vtt7.97 KB
2. Core Concepts/13. Recap & How do these relate to each other.mp410.88 MB
2. Core Concepts/13. Recap & How do these relate to each other.vtt5.23 KB
2. Core Concepts/2. Computer Science - the `Train Wreck' Definition.mp43.56 MB
2. Core Concepts/2. Computer Science - the `Train Wreck' Definition.vtt1.38 KB
2. Core Concepts/3. What's Data I can see data everywhere!.mp422.75 MB
2. Core Concepts/3. What's Data I can see data everywhere!.vtt8.74 KB
2. Core Concepts/4. Structured vs Unstructured Data.mp49.11 MB
2. Core Concepts/4. Structured vs Unstructured Data.vtt3.59 KB
2. Core Concepts/5. Structured and Unstructured Data.html139 B
2. Core Concepts/6. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....mp432.51 MB
2. Core Concepts/6. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....vtt14.58 KB
2. Core Concepts/7. What's big data.mp424.17 MB
2. Core Concepts/7. What's big data.vtt9.8 KB
2. Core Concepts/8. Big Data - Quiz.html139 B
2. Core Concepts/9. What is Artificial Intelligence (AI).mp443.21 MB
2. Core Concepts/9. What is Artificial Intelligence (AI).vtt19.1 KB
3. Impacts, Importance and examples/1. Impacts, Importance and examples - Overview.mp412.88 MB
3. Impacts, Importance and examples/1. Impacts, Importance and examples - Overview.vtt1.1 KB
3. Impacts, Importance and examples/2. Why is this important now.mp425.88 MB
3. Impacts, Importance and examples/2. Why is this important now.vtt10.85 KB
3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp472.52 MB
3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..vtt17.28 KB
3. Impacts, Importance and examples/4. What problems does Machine Learning Solve.mp417.11 MB
3. Impacts, Importance and examples/4. What problems does Machine Learning Solve.vtt7.53 KB
3. Impacts, Importance and examples/5. Where it's transforming our lives.mp433.13 MB
3. Impacts, Importance and examples/5. Where it's transforming our lives.vtt14.98 KB
4. The Machine Learning Process/1. The Machine Learning Process - Overview.mp420.01 MB
4. The Machine Learning Process/1. The Machine Learning Process - Overview.vtt2.28 KB
4. The Machine Learning Process/2. 5 Step Machine Learning Process Overview.mp46.24 MB
4. The Machine Learning Process/2. 5 Step Machine Learning Process Overview.vtt2.78 KB
4. The Machine Learning Process/3. 1 - Asking the right question.mp48.13 MB
4. The Machine Learning Process/3. 1 - Asking the right question.vtt4.58 KB
4. The Machine Learning Process/4. 2 - Identifying, obtaining, and preparing the right data.mp432.15 MB
4. The Machine Learning Process/4. 2 - Identifying, obtaining, and preparing the right data.vtt17.75 KB
4. The Machine Learning Process/5. 3 - Identifying and applying a ML Algorithm.mp431.59 MB
4. The Machine Learning Process/5. 3 - Identifying and applying a ML Algorithm.vtt18.19 KB
4. The Machine Learning Process/6. 4 - Evaluating the performance of the model and adjusting.mp411.39 MB
4. The Machine Learning Process/6. 4 - Evaluating the performance of the model and adjusting.vtt7 KB
4. The Machine Learning Process/7. 5 - Using and presenting the model.mp45.3 MB
4. The Machine Learning Process/7. 5 - Using and presenting the model.vtt3.2 KB
4. The Machine Learning Process/8. Machine Learning - Process.html139 B
5. How to apply Machine Learning for Data Science/1. How to apply Machine Learning for Data Science - Overview.mp45.5 MB
5. How to apply Machine Learning for Data Science/1. How to apply Machine Learning for Data Science - Overview.vtt897 B
5. How to apply Machine Learning for Data Science/2. Where to begin your journey.mp43.44 MB
5. How to apply Machine Learning for Data Science/2. Where to begin your journey.vtt1.46 KB
5. How to apply Machine Learning for Data Science/3. Common platforms and tools for Data Science.mp46.31 MB
5. How to apply Machine Learning for Data Science/3. Common platforms and tools for Data Science.vtt3.14 KB

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