FreeCourseSite com Udemy - Deep Learning Prerequisites The Numpy Stack in Python V2

1. 01 - Welcome and Logistics/001 Introduction and Outline.mp460.48MB
2. 01 - Welcome and Logistics/002 Extra Resources.mp417.49MB
3. 02 - Numpy (New)/001 Numpy Section Introduction.mp424.07MB
4. 02 - Numpy (New)/002 Arrays vs Lists.mp430.37MB
5. 02 - Numpy (New)/003 Dot Product.mp412.1MB
6. 02 - Numpy (New)/004 Speed Test.mp46.18MB
7. 02 - Numpy (New)/005 Matrices.mp426.45MB
8. 02 - Numpy (New)/006 Solving Linear Systems.mp46.44MB
9. 02 - Numpy (New)/007 Generating Data.mp452.78MB
10. 02 - Numpy (New)/008 Numpy Exercise.mp41.87MB
11. 02 - Numpy (New)/009 Where to Learn More Numpy.mp415.76MB
12. 02 - Numpy (New)/010 Suggestion Box.mp411.84MB
13. 03 - Matplotlib (New)/001 Matplotlib Section Introduction.mp45.2MB
14. 03 - Matplotlib (New)/002 Line Chart.mp47.08MB
15. 03 - Matplotlib (New)/003 Scatterplot.mp47.78MB
16. 03 - Matplotlib (New)/004 Histogram.mp44.89MB
17. 03 - Matplotlib (New)/005 Plotting Images.mp420.86MB
18. 03 - Matplotlib (New)/006 Matplotlib Exercise.mp45.51MB
19. 03 - Matplotlib (New)/007 Where to Learn More Matplotlib.mp429.98MB
20. 04 - Pandas (New)/001 Pandas Section Introduction.mp42.36MB
21. 04 - Pandas (New)/002 Loading in Data.mp416.36MB
22. 04 - Pandas (New)/003 Selecting Rows and Columns.mp423.69MB
23. 04 - Pandas (New)/004 The apply() Function.mp47.53MB
24. 04 - Pandas (New)/005 Plotting with Pandas.mp47.22MB
25. 04 - Pandas (New)/006 Pandas Exercise.mp46.8MB
26. 04 - Pandas (New)/007 Where to Learn More Pandas.mp49.61MB
27. 05 - Scipy (New)/001 Scipy Section Introduction.mp42.78MB
28. 05 - Scipy (New)/002 PDF and CDF.mp46.78MB
29. 05 - Scipy (New)/003 Convolution.mp411.71MB
30. 05 - Scipy (New)/004 Scipy Exercise.mp42.47MB
31. 05 - Scipy (New)/005 Where to Learn More Scipy.mp414.89MB
32. 06 - Bonus Exercises/001 More Exercises.mp414.61MB
33. 07 - Beginner Troubleshooting/001 What if I don't meet the math prerequisites_.mp473.93MB
34. 08 - Machine Learning Basics/001 Machine Learning_ Section Introduction.mp421.46MB
35. 08 - Machine Learning Basics/002 What is Classification_.mp444.08MB
36. 08 - Machine Learning Basics/003 Classification in Code.mp4119.8MB
37. 08 - Machine Learning Basics/004 What is Regression_.mp424.42MB
38. 08 - Machine Learning Basics/005 Regression in Code.mp446.05MB
39. 08 - Machine Learning Basics/006 What is a Feature Vector.mp423.68MB
40. 08 - Machine Learning Basics/007 Machine Learning is Nothing but Geometry.mp49.89MB
41. 08 - Machine Learning Basics/008 All Data is the Same.mp48.92MB
42. 08 - Machine Learning Basics/009 Comparing Different Machine Learning Models.mp425.59MB
43. 08 - Machine Learning Basics/010 Machine Learning and Deep Learning_ Future Topics.mp418.9MB
44. 08 - Machine Learning Basics/011 Machine Learning Section Summary.mp421.42MB
45. 09 - Setting Up Your Environment (FAQ by Student Request)/001 Anaconda Environment Setup.mp4168.01MB
46. 09 - Setting Up Your Environment (FAQ by Student Request)/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4109.21MB
47. 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 Python 2 vs Python 3.mp47.61MB
48. 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 Proof that using Jupyter Notebook is the same as not using it.mp464.34MB
49. 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 Machine Learning and AI Prerequisite Roadmap (pt 1).mp475.7MB
50. 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Machine Learning and AI Prerequisite Roadmap (pt 2).mp481.19MB
51. 12 - Appendix _ FAQ Finale/001 BONUS.mp412.5MB