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种子名称： [FreeCourseSite.com] Udemy - Introduction to Machine Learning for Data Science
文件类型： 视频
文件数目： 61个文件
文件大小： 2.45 GB
收录时间： 2018-12-19 21:12
已经下载： 3次
资源热度： 121
最近下载： 2024-11-14 09:00

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[FreeCourseSite.com] Udemy - Introduction to Machine Learning for Data Science.torrent

1. Introduction/1. Course Promotion Video.mp431.88MB

1. Introduction/2. A special message for hard of hearing and ESL students.mp418.05MB

1. Introduction/3. Thank you for investing in this Course!.mp414.74MB

1. Introduction/4. Course Overview.mp436.82MB

1. Introduction/5. Secret sauce inside! How to get the most out of this course..mp424.33MB

10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp494.45MB

10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp475.59MB

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.mp4121.32MB

11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp494.93MB

11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp498.99MB

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.mp483.74MB

12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp488.82MB

12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..mp473.44MB

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.mp454.75MB

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.mp4114.57MB

12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/5. A Titanic Example - Applying regression algorithms..mp450.24MB

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).mp456.12MB

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!.mp4101.35MB

14. Retired Lectures/1. #4 - Secret sauce inside! How to get the most out of this course.mp430.83MB

14. Retired Lectures/2. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....mp432.3MB

2. Core Concepts/1. Core Concepts Overview.mp430.16MB

2. Core Concepts/10. What is Machine Learning - Part 1 - The ideas.mp438.38MB

2. Core Concepts/11. What is Machine Learning - Part 2 - An Example.mp424.3MB

2. Core Concepts/12. What is data science.mp418.48MB

2. Core Concepts/13. Recap & How do these relate to each other.mp410.88MB

2. Core Concepts/2. Computer Science - the `Train Wreck' Definition.mp43.56MB

2. Core Concepts/3. What's Data I can see data everywhere!.mp422.75MB

2. Core Concepts/4. Structured vs Unstructured Data.mp49.11MB

2. Core Concepts/6. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....mp432.51MB

2. Core Concepts/7. What's big data.mp424.17MB

2. Core Concepts/9. What is Artificial Intelligence (AI).mp443.21MB

3. Impacts, Importance and examples/1. Impacts, Importance and examples - Overview.mp412.88MB

3. Impacts, Importance and examples/2. Why is this important now.mp425.88MB

3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp472.52MB

3. Impacts, Importance and examples/4. What problems does Machine Learning Solve.mp417.11MB

3. Impacts, Importance and examples/5. Where it's transforming our lives.mp433.13MB

4. The Machine Learning Process/1. The Machine Learning Process - Overview.mp420.01MB

4. The Machine Learning Process/2. 5 Step Machine Learning Process Overview.mp46.24MB

4. The Machine Learning Process/3. 1 - Asking the right question.mp48.13MB

4. The Machine Learning Process/4. 2 - Identifying, obtaining, and preparing the right data.mp432.15MB

4. The Machine Learning Process/5. 3 - Identifying and applying a ML Algorithm.mp431.59MB

4. The Machine Learning Process/6. 4 - Evaluating the performance of the model and adjusting.mp411.39MB

4. The Machine Learning Process/7. 5 - Using and presenting the model.mp45.3MB

5. How to apply Machine Learning for Data Science/1. How to apply Machine Learning for Data Science - Overview.mp45.5MB

5. How to apply Machine Learning for Data Science/2. Where to begin your journey.mp43.44MB

5. How to apply Machine Learning for Data Science/3. Common platforms and tools for Data Science.mp46.31MB

5. How to apply Machine Learning for Data Science/4. Data Science using - R.mp45.48MB

5. How to apply Machine Learning for Data Science/5. Data Science using - Python.mp47.34MB

5. How to apply Machine Learning for Data Science/6. Data Science using SQL.mp45.63MB

5. How to apply Machine Learning for Data Science/7. Data Science using Excel.mp45.02MB

5. How to apply Machine Learning for Data Science/8. Data Science using RapidMiner.mp43.3MB

5. How to apply Machine Learning for Data Science/9. Cautionary Tales.mp44.61MB

6. Conclusion/1. All done! What's next.mp46.21MB

7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp477.78MB

7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp496.28MB

7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4119.75MB

8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.mp461.63MB

8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.mp467.43MB

8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Crash course in Python - Expressions, Operators, Conditions and Loops.mp452.13MB

8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.mp457.04MB

9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp495.33MB