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文档列表

6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Numpy (New)/7. Generating Data.mp4 66.3 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.5 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
2. Numpy (New)/3. Dot Product.mp4 27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
5. Scipy (New)/3. Convolution.mp4 22.5 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB
6. Appendix FAQ/1. More Exercises.mp4 17.5 MB
3. Matplotlib (New)/2. Line Chart.mp4 16.9 MB
2. Numpy (New)/9. Suggestion Box.mp4 16.9 MB
2. Numpy (New)/4. Speed Test.mp4 15.5 MB
3. Matplotlib (New)/1. Matplotlib Section Introduction.mp4 15.5 MB
5. Scipy (New)/2. PDF and CDF.mp4 15.2 MB
2. Numpy (New)/6. Solving Linear Systems.mp4 15.1 MB
4. Pandas (New)/6. Pandas Exercise.mp4 14.1 MB
4. Pandas (New)/5. Plotting with Pandas.mp4 14.0 MB
3. Matplotlib (New)/6. Matplotlib Exercise.mp4 13.6 MB
4. Pandas (New)/4. The apply() Function.mp4 10.9 MB
3. Matplotlib (New)/4. Histogram.mp4 10.9 MB
5. Scipy (New)/4. Scipy Exercise.mp4 6.7 MB
5. Scipy (New)/1. Scipy Section Introduction.mp4 6.6 MB
4. Pandas (New)/1. Pandas Section Introduction.mp4 6.2 MB
2. Numpy (New)/8. Numpy Exercise.mp4 4.9 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).srt 23.6 kB
6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt 20.6 kB
2. Numpy (New)/7. Generating Data.srt 17.7 kB
2. Numpy (New)/5. Matrices.srt 16.7 kB
6. Appendix FAQ/7. What order should I take your courses in (part 1).srt 16.4 kB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.8 kB
2. Numpy (New)/2. Arrays vs Lists.srt 14.8 kB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.srt 14.5 kB
1. Welcome and Logistics/1. Introduction and Outline.srt 12.0 kB
6. Appendix FAQ/1. More Exercises.srt 10.7 kB
4. Pandas (New)/3. Selecting Rows and Columns.srt 10.7 kB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.srt 8.7 kB
3. Matplotlib (New)/5. Plotting Images.srt 8.5 kB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.srt 8.1 kB
2. Numpy (New)/1. Numpy Section Introduction.srt 7.9 kB
2. Numpy (New)/3. Dot Product.srt 7.2 kB
6. Appendix FAQ/5. Python 2 vs Python 3.srt 6.2 kB
3. Matplotlib (New)/3. Scatterplot.srt 5.0 kB
1. Welcome and Logistics/5. Extra Resources.srt 4.9 kB
2. Numpy (New)/9. Suggestion Box.srt 4.8 kB
5. Scipy (New)/3. Convolution.srt 4.6 kB
2. Numpy (New)/6. Solving Linear Systems.srt 4.3 kB
3. Matplotlib (New)/2. Line Chart.srt 3.9 kB
2. Numpy (New)/4. Speed Test.srt 3.8 kB
4. Pandas (New)/2. Loading in Data.srt 3.8 kB
3. Matplotlib (New)/1. Matplotlib Section Introduction.srt 3.7 kB
5. Scipy (New)/2. PDF and CDF.srt 3.0 kB
4. Pandas (New)/6. Pandas Exercise.srt 2.9 kB
4. Pandas (New)/5. Plotting with Pandas.srt 2.6 kB
4. Pandas (New)/4. The apply() Function.srt 2.6 kB
3. Matplotlib (New)/4. Histogram.srt 2.4 kB
3. Matplotlib (New)/6. Matplotlib Exercise.srt 2.2 kB
5. Scipy (New)/1. Scipy Section Introduction.srt 1.8 kB
4. Pandas (New)/1. Pandas Section Introduction.srt 1.7 kB
5. Scipy (New)/4. Scipy Exercise.srt 1.4 kB
2. Numpy (New)/8. Numpy Exercise.srt 1.4 kB
1. Welcome and Logistics/2. What will you learn in this course.html 164 Bytes
1. Welcome and Logistics/3. What level of machine learning is taught in this course.html 164 Bytes
1. Welcome and Logistics/4. How will you practice what you learned in this course.html 164 Bytes
[Tutorialsplanet.NET].url 128 Bytes

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