| 1. Exercises.mp4 | 16.7 MB | ||
| 1. Exercises.srt | 10.5 KB | ||
| 1. Gaussian PDF and CDF.mp4 | 8.5 MB | ||
| 1. Gaussian PDF and CDF.srt | 6 KB | ||
| 1. Line Chart.mp4 | 5.5 MB | ||
| 1. Line Chart.srt | 3.5 KB | ||
| 1. Lists vs. Arrays.mp4 | 10.7 MB | ||
| 1. Lists vs. Arrays.srt | 7.5 KB | ||
| 1. Manual Data Loading.mp4 | 8.1 MB | ||
| 1. Manual Data Loading.srt | 5.6 KB | ||
| 1. What’s this course about How can you succeed What should you know first.mp4 | 10.1 MB | ||
| 1. What’s this course about How can you succeed What should you know first.srt | 8.2 KB | ||
| 2. Bonus Section on Machine Learning Basics.mp4 | 35 MB | ||
| 2. Bonus Section on Machine Learning Basics.srt | 8.5 KB | ||
| 2. DataFrames.mp4 | 7 MB | ||
| 2. DataFrames.srt | 4.3 KB | ||
| 2. Dot product 1 For loop vs. cosine method vs. dot function.mp4 | 8.2 MB | ||
| 2. Dot product 1 For loop vs. cosine method vs. dot function.srt | 5.6 KB | ||
| 2. Sampling from a Gaussian Distribution (1-D).mp4 | 4.5 MB | ||
| 2. Sampling from a Gaussian Distribution (1-D).srt | 1.7 KB | ||
| 2. Scatterplot.mp4 | 6.2 MB | ||
| 2. Scatterplot.srt | 3.4 KB | ||
| 2. Where to get the code (and how to install libraries).mp4 | 7.5 MB | ||
| 2. Where to get the code (and how to install libraries).srt | 4.9 KB | ||
| 3. Dot product 2 Speed comparison.mp4 | 3.1 MB | ||
| 3. Dot product 2 Speed comparison.srt | 1.5 KB | ||
| 3. Histogram.mp4 | 6.5 MB | ||
| 3. Histogram.srt | 3.2 KB | ||
| 3. How will you practice what you've learned in this course.html | 204.8 B | ||
| 3. More about DataFrames Selecting Rows and Columns.mp4 | 8.2 MB | ||
| 3. More about DataFrames Selecting Rows and Columns.srt | 5.3 KB | ||
| 3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).mp4 | 7.5 MB | ||
| 3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).srt | 2.9 KB | ||
| 3. Windows-Focused Environment Setup 2018.mp4 | 186.2 MB | ||
| 3. Windows-Focused Environment Setup 2018.srt | 20.1 KB | ||
| 4. Even More about DataFrames Column Names.mp4 | 5.8 MB | ||
| 4. Even More about DataFrames Column Names.srt | 3.4 KB | ||
| 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 | 43.9 MB | ||
| 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt | 14.5 KB | ||
| 4. Plotting Images.mp4 | 12.2 MB | ||
| 4. Plotting Images.srt | 5.5 KB | ||
| 4. Python 2 or Python 3.mp4 | 1.8 MB | ||
| 4. Python 2 or Python 3.srt | 1.5 KB | ||
| 4. Sampling from a General Multivariate Normal.mp4 | 5 MB | ||
| 4. Sampling from a General Multivariate Normal.srt | 2.7 KB | ||
| 4. Vectors and Matrices.mp4 | 6.2 MB | ||
| 4. Vectors and Matrices.srt | 4.7 KB | ||
| 5. Generating Matrices to Work With.mp4 | 6.4 MB | ||
| 5. Generating Matrices to Work With.srt | 3.8 KB | ||
| 5. Other Interesting Scipy Functions.mp4 | 10 MB | ||
| 5. Other Interesting Scipy Functions.srt | 6.5 KB | ||
| 5. Python 2 vs Python 3.mp4 | 19.1 MB | ||
| 5. Python 2 vs Python 3.srt | 6.1 KB | ||
| 5. The apply() Function.mp4 | 5.4 MB | ||
| 5. The apply() Function.srt | 3.2 KB | ||
| 6. Joins.mp4 | 4 MB | ||
| 6. Joins.srt | 2.4 KB | ||
| 6. Matrix Products.mp4 | 4.4 MB | ||
| 6. Matrix Products.srt | 3.3 KB | ||
| 6. Proof that using Jupyter Notebook is the same as not using it.mp4 | 78.3 MB | ||
| 6. Proof that using Jupyter Notebook is the same as not using it.srt | 14.1 KB | ||
| 7. .values vs .as_matrix().mp4 | 33.3 MB | ||
| 7. .values vs .as_matrix().srt | 8.8 KB | ||
| 7. More Matrix Operations.mp4 | 12 MB | ||
| 7. More Matrix Operations.srt | 7.8 KB | ||
| 7. What order should I take your courses in (part 1).mp4 | 29.3 MB | ||
| 7. What order should I take your courses in (part 1).srt | 16 KB | ||
| 8. Solving a Linear System.mp4 | 4.6 MB | ||
| 8. Solving a Linear System.srt | 2.9 KB | ||
| 8. What order should I take your courses in (part 2).mp4 | 37.6 MB | ||
| 8. What order should I take your courses in (part 2).srt | 23 KB | ||
| 9. Where to get Udemy coupons and FREE deep learning material.mp4 | 4 MB | ||
| 9. Where to get Udemy coupons and FREE deep learning material.srt | 3.4 KB | ||
| 9. Word Problem.mp4 | 3.3 MB | ||
| 9. Word Problem.srt | 1.6 KB | ||
| ▲ 75 total files | |||
Deep Learning Prerequisites: The Numpy Stack in Python
The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence
Rating - 4.5 (14,571 ratings)
196,554 students enrolled
Udemy link - https://www.udemy.com/course/deep-learning-prerequisites-the-numpy-stack-in-python/
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 4 GB | freecoursewb | 2 months | 12 | 10 | |
| 498 MB | freecoursewb | 2 months | 16 | 2 | |
| 4 GB | freecoursewb | 4 months | 24 | 10 | |
| 2.5 GB | freecoursewb | 7 months | 14 | 3 | |
| 785.3 MB | freecoursewb | 7 months | 13 | 1 |
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