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Название [Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]
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1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 37.85Мб
1. BONUS Where to get Udemy coupons and FREE deep learning material.srt 7.87Кб
1. Introduction and Outline.mp4 60.48Мб
1. Introduction and Outline.srt 11.71Кб
1. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29.32Мб
1. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16.03Кб
1. Machine Learning Section Introduction.mp4 38.88Мб
1. Machine Learning Section Introduction.srt 11.13Кб
1. Matplotlib Section Introduction.mp4 14.74Мб
1. Matplotlib Section Introduction.srt 3.66Кб
1. More Exercises.mp4 16.70Мб
1. More Exercises.srt 10.49Кб
1. Numpy Section Introduction.mp4 24.07Мб
1. Numpy Section Introduction.srt 7.72Кб
1. Pandas Section Introduction.mp4 5.88Мб
1. Pandas Section Introduction.srt 1.68Кб
1. Python 2 vs Python 3.mp4 19.10Мб
1. Python 2 vs Python 3.srt 6.08Кб
1. Scipy Section Introduction.mp4 6.31Мб
1. Scipy Section Introduction.srt 1.76Кб
1. Windows-Focused Environment Setup 2018.mp4 186.24Мб
1. Windows-Focused Environment Setup 2018.srt 20.10Кб
10. Machine Learning and Deep Learning Future Topics.mp4 36.72Мб
10. Machine Learning and Deep Learning Future Topics.srt 7.90Кб
10. Suggestion Box.mp4 16.13Мб
10. Suggestion Box.srt 4.70Кб
11. Machine Learning Section Summary.mp4 21.42Мб
11. Machine Learning Section Summary.srt 8.02Кб
2. Arrays vs Lists.mp4 50.77Мб
2. Arrays vs Lists.srt 14.46Кб
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92Мб
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.48Кб
2. Line Chart.mp4 16.15Мб
2. Line Chart.srt 3.78Кб
2. Loading in Data.mp4 23.61Мб
2. Loading in Data.srt 3.71Кб
2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 37.62Мб
2. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.04Кб
2. PDF and CDF.mp4 14.49Мб
2. PDF and CDF.srt 2.94Кб
2. Proof that using Jupyter Notebook is the same as not using it.mp4 78.28Мб
2. Proof that using Jupyter Notebook is the same as not using it.srt 14.12Кб
2. What is Classification.mp4 62.21Мб
2. What is Classification.srt 16.68Кб
2. What will you learn in this course.html 164б
3. Classification in Code.mp4 125.44Мб
3. Classification in Code.srt 16.59Кб
3. Convolution.mp4 21.50Мб
3. Convolution.srt 4.49Кб
3. Dot Product.mp4 26.33Мб
3. Dot Product.srt 7.08Кб
3. Scatterplot.mp4 17.90Мб
3. Scatterplot.srt 4.86Кб
3. Selecting Rows and Columns.mp4 49.12Мб
3. Selecting Rows and Columns.srt 10.45Кб
3. What level of machine learning is taught in this course.html 164б
4. Histogram.mp4 10.35Мб
4. Histogram.srt 2.31Кб
4. How will you practice what you learned in this course.html 164б
4. Scipy Exercise.mp4 6.38Мб
4. Scipy Exercise.srt 1.38Кб
4. Speed Test.mp4 14.74Мб
4. Speed Test.srt 3.75Кб
4. The apply() Function.mp4 10.43Мб
4. The apply() Function.srt 2.53Кб
4. What is Regression.mp4 43.20Мб
4. What is Regression.srt 16.79Кб
5. Extra Resources.mp4 25.30Мб
5. Extra Resources.srt 4.80Кб
5. Matrices.mp4 57.19Мб
5. Matrices.srt 16.30Кб
5. Plotting Images.mp4 38.63Мб
5. Plotting Images.srt 8.31Кб
5. Plotting with Pandas.mp4 13.38Мб
5. Plotting with Pandas.srt 2.59Кб
5. Regression in Code.mp4 61.85Мб
5. Regression in Code.srt 9.91Кб
5. Where to Learn More Scipy.mp4 38.94Мб
5. Where to Learn More Scipy.srt 10.21Кб
6. Matplotlib Exercise.mp4 12.38Мб
6. Matplotlib Exercise.srt 2.22Кб
6. Pandas Exercise.mp4 13.50Мб
6. Pandas Exercise.srt 2.87Кб
6. Solving Linear Systems.mp4 14.42Мб
6. Solving Linear Systems.srt 4.17Кб
6. What is a Feature Vector.mp4 32.83Мб
6. What is a Feature Vector.srt 9.03Кб
7. Generating Data.mp4 63.17Мб
7. Generating Data.srt 17.33Кб
7. Machine Learning is Nothing but Geometry.mp4 19.26Мб
7. Machine Learning is Nothing but Geometry.srt 6.10Кб
7. Where to Learn More Matplotlib.mp4 77.12Мб
7. Where to Learn More Matplotlib.srt 17.51Кб
7. Where to Learn More Pandas.mp4 25.57Мб
7. Where to Learn More Pandas.srt 5.95Кб
8. All Data is the Same.mp4 21.34Мб
8. All Data is the Same.srt 7.21Кб
8. Numpy Exercise.mp4 4.69Мб
8. Numpy Exercise.srt 1.38Кб
9. Comparing Different Machine Learning Models.mp4 45.51Мб
9. Comparing Different Machine Learning Models.srt 13.17Кб
9. Where to Learn More Numpy.mp4 38.86Мб
9. Where to Learn More Numpy.srt 10.07Кб
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