GigaCourse Com Udemy - Deep Learning Prerequisites The Numpy Stack in Python V2

1. 1 - Welcome and Logistics/1 - Introduction and Outline.mp460.48MB
2. 1 - Welcome and Logistics/2 - Extra Resources.mp429.86MB
3. 10 - Extra Help With Python Coding for Beginners FAQ by Student Request/47 - Python 2 vs Python 3.mp410.26MB
4. 10 - Extra Help With Python Coding for Beginners FAQ by Student Request/48 - Proof that using Jupyter Notebook is the same as not using it.mp4108.06MB
5. 11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4134.46MB
6. 11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4135.82MB
7. 12 - Appendix FAQ Finale/51 - BONUS.mp460.87MB
8. 2 - Numpy New/10 - Numpy Exercise.mp42.38MB
9. 2 - Numpy New/11 - Where to Learn More Numpy.mp421.74MB
10. 2 - Numpy New/12 - Suggestion Box.mp439.71MB
11. 2 - Numpy New/3 - Numpy Section Introduction.mp424.07MB
12. 2 - Numpy New/4 - Arrays vs Lists.mp443.3MB
13. 2 - Numpy New/5 - Dot Product.mp415.9MB
14. 2 - Numpy New/6 - Speed Test.mp48.29MB
15. 2 - Numpy New/7 - Matrices.mp434.77MB
16. 2 - Numpy New/8 - Solving Linear Systems.mp48.33MB
17. 2 - Numpy New/9 - Generating Data.mp486.5MB
18. 3 - Matplotlib New/13 - Matplotlib Section Introduction.mp47.4MB
19. 3 - Matplotlib New/14 - Line Chart.mp49.29MB
20. 3 - Matplotlib New/15 - Scatterplot.mp410.35MB
21. 3 - Matplotlib New/16 - Histogram.mp46.9MB
22. 3 - Matplotlib New/17 - Plotting Images.mp432.17MB
23. 3 - Matplotlib New/18 - Matplotlib Exercise.mp48.37MB
24. 3 - Matplotlib New/19 - Where to Learn More Matplotlib.mp442.23MB
25. 4 - Pandas New/20 - Pandas Section Introduction.mp43.02MB
26. 4 - Pandas New/21 - Loading in Data.mp426.5MB
27. 4 - Pandas New/22 - Selecting Rows and Columns.mp433.38MB
28. 4 - Pandas New/23 - The apply Function.mp411.88MB
29. 4 - Pandas New/24 - Plotting with Pandas.mp410.77MB
30. 4 - Pandas New/25 - Pandas Exercise.mp410.09MB
31. 4 - Pandas New/26 - Where to Learn More Pandas.mp415.19MB
32. 5 - Scipy New/27 - Scipy Section Introduction.mp43.64MB
33. 5 - Scipy New/28 - PDF and CDF.mp49.64MB
34. 5 - Scipy New/29 - Convolution.mp417.36MB
35. 5 - Scipy New/30 - Scipy Exercise.mp43.51MB
36. 5 - Scipy New/31 - Where to Learn More Scipy.mp422.82MB
37. 6 - Bonus Exercises/32 - More Exercises.mp419.85MB
38. 7 - Beginner Troubleshooting/33 - What if I dont meet the math prerequisites.mp4115.59MB
39. 8 - Machine Learning Basics/34 - Machine Learning Section Introduction.mp434.01MB
40. 8 - Machine Learning Basics/35 - What is Classification.mp472.72MB
41. 8 - Machine Learning Basics/36 - Classification in Code.mp4207.82MB
42. 8 - Machine Learning Basics/37 - What is Regression.mp434.74MB
43. 8 - Machine Learning Basics/38 - Regression in Code.mp477.26MB
44. 8 - Machine Learning Basics/39 - What is a Feature Vector.mp438.54MB
45. 8 - Machine Learning Basics/40 - Machine Learning is Nothing but Geometry.mp414.99MB
46. 8 - Machine Learning Basics/41 - All Data is the Same.mp412.66MB
47. 8 - Machine Learning Basics/42 - Comparing Different Machine Learning Models.mp438.52MB
48. 8 - Machine Learning Basics/43 - Machine Learning and Deep Learning Future Topics.mp431.3MB
49. 8 - Machine Learning Basics/44 - Machine Learning Section Summary.mp421.42MB
50. 9 - Setting Up Your Environment FAQ by Student Request/45 - Anaconda Environment Setup.mp4308.31MB
51. 9 - Setting Up Your Environment FAQ by Student Request/46 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4191.45MB