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[ FreeCourseWeb.com ] Udemy - Numpy Mega Course - Solve 100 problems - Data Science.zip 206.8 MB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Data Mining w - Python and NumPy - Build a Video Recommender.zip

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3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4 198.8 MB
3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp4 163.8 MB
7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 135.4 MB
17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 131.7 MB
4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.7 MB
17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 120.8 MB
3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
7. Jupyter/1. What is Jupyter.mp4 108.3 MB
9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.7 MB
14. FFTs/1. FFTs and Inverse FFT.mp4 95.1 MB
5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 84.3 MB
17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.7 MB
3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 83.1 MB
3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.5 MB
17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 79.8 MB
17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 78.1 MB

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Complete Data Analysis Course with Pandas & NumPy Python.zip 4.3 GB
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【影视】 [FreeCourseLab.com] Udemy - IoT#2 Advanced Python for IoT and Numpy

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8. Client Element and Datasets/3. Adding Email and Client Name.mp4 116.6 MB
8. Client Element and Datasets/1. Indexing the Client Element.mp4 111.2 MB
7. Database and Chat App/2. Commands for Creating a Table.mp4 105.2 MB
7. Database and Chat App/5. Query from Database.mp4 96.8 MB
10. Numpy Arrays/2. Different Dimensional Array in Numpy.mp4 96.5 MB
10. Numpy Arrays/1. Creating Numpy Arrays.mp4 94.9 MB
5. Socket Programming/2. Writing the Client and Server Code.mp4 90.3 MB
8. Client Element and Datasets/6. Converting Temperature using List comprehension.mp4 89.1 MB
8. Client Element and Datasets/2. Connection from Client at Address.mp4 89.0 MB
3. Nuts and Bolts/3. Learning the Bolt Structure.mp4 84.4 MB
10. Numpy Arrays/4. Slicing.mp4 83.3 MB
7. Database and Chat App/4. Connecting Between Database and Python Code.mp4 80.5 MB
6. ChatBot App/4. Creating and Importing Client Socket.mp4 78.5 MB
10. Numpy Arrays/9. Using Scalers with Numpy Arrays.mp4 77.4 MB
7. Database and Chat App/6. Making changes in Chat App.mp4 76.6 MB
3. Nuts and Bolts/2. Methods of the List.mp4 76.4 MB
6. ChatBot App/5. Creating Message for Client.mp4 75.4 MB
8. Client Element and Datasets/4. Analyzing the Data Sets.mp4 72.5 MB
10. Numpy Arrays/6. Arrays of Ones and Zeros.mp4 72.3 MB
10. Numpy Arrays/10. Matrix Multiplication.mp4 72.0 MB

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【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

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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 66.2 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 39.4 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

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【压缩文件】 Data Science with Plotly, NumPy, Matplotlib, and Pandas

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Data Science with Plotly, NumPy, Matplotlib, and Pandas.zip 5.1 GB
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【压缩文件】 Deep Learning Prerequisites The Numpy Stack in Python

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Deep Learning Prerequisites The Numpy Stack in Python.zip 562.7 MB
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【影视】 [UdemyCourseDownloader] Complete Data Analysis Course with Pandas & NumPy Python

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09. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
09. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
05. Python Exercises/2. Solutions.mp4 114.7 MB
01. Introduction/1. What is Data analysis.mp4 100.4 MB
06. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
06. Numpy/1. Creating NumPy array.mp4 89.3 MB
08. Data Frame Pandas/13. sorting values.mp4 88.9 MB
08. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
01. Introduction/2. Introduction to Pandas.mp4 82.2 MB
08. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
02. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
01. Introduction/3. Course FAQ.mp4 77.2 MB
08. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
14. Working with Text Data/3. More String methods.mp4 74.4 MB
08. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 66.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] The Complete NumPy course For Data Science - Hands-on NumPy (Updated).zip

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[ FreeCourseWeb.com ] The Complete NumPy course For Data Science - Hands-on NumPy (Updated).zip 964.0 MB

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【影视】 [FreeCourseSite.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 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
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB

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[TutsNode.com] - Deep Learning Prerequisites/08 Setting Up Your Environment (FAQ by Student Request)/044 Windows-Focused Environment Setup 2018.mp4 195.3 MB
[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/035 Classification in Code.mp4 131.5 MB
[TutsNode.com] - Deep Learning Prerequisites/09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/047 Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
[TutsNode.com] - Deep Learning Prerequisites/03 Matplotlib (New)/019 Where to Learn More Matplotlib.mp4 80.9 MB
[TutsNode.com] - Deep Learning Prerequisites/02 Numpy (New)/009 Generating Data.mp4 66.2 MB
[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/034 What is Classification_.mp4 65.2 MB
[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/037 Regression in Code.mp4 64.9 MB
[TutsNode.com] - Deep Learning Prerequisites/01 Welcome and Logistics/001 Introduction and Outline.mp4 63.4 MB
[TutsNode.com] - Deep Learning Prerequisites/02 Numpy (New)/007 Matrices.mp4 60.0 MB
[TutsNode.com] - Deep Learning Prerequisites/02 Numpy (New)/004 Arrays vs Lists.mp4 53.2 MB
[TutsNode.com] - Deep Learning Prerequisites/04 Pandas (New)/022 Selecting Rows and Columns.mp4 51.5 MB
[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/041 Comparing Different Machine Learning Models.mp4 47.7 MB
[TutsNode.com] - Deep Learning Prerequisites/08 Setting Up Your Environment (FAQ by Student Request)/045 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/036 What is Regression_.mp4 45.3 MB
[TutsNode.com] - Deep Learning Prerequisites/05 Scipy (New)/031 Where to Learn More Scipy.mp4 40.8 MB
[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/033 Machine Learning_ Section Introduction.mp4 40.8 MB
[TutsNode.com] - Deep Learning Prerequisites/02 Numpy (New)/011 Where to Learn More Numpy.mp4 40.7 MB
[TutsNode.com] - Deep Learning Prerequisites/03 Matplotlib (New)/017 Plotting Images.mp4 40.5 MB
[TutsNode.com] - Deep Learning Prerequisites/11 Appendix _ FAQ Finale/050 BONUS_ Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
[TutsNode.com] - Deep Learning Prerequisites/10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/049 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB

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【压缩文件】 [ FreeCourseWeb.com ] Data Analysis with Pandas and NumPy in Python [2020].zip

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[ FreeCourseWeb.com ] Data Analysis with Pandas and NumPy in Python [2020].zip 2.1 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Python Programming for Excel Users - NumPy, Pandas and More!.zip

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[ FreeCourseWeb.com ] Udemy - Python Programming for Excel Users - NumPy, Pandas and More!.zip 4.0 GB

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【影视】 [Специалист] Программирование на Python 3. Уровень 4. Библиотеки Pandas, numpy, Matplotlib (2018)

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【影视】 [DesireCourse.Net] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

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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 66.2 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 39.4 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

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【压缩文件】 [ FreeCourseWeb.com ] Data Science with Plotly, NumPy, Matplotlib, and Pandas (Updated 11-2019).zip

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[ FreeCourseWeb.com ] Data Science with Plotly, NumPy, Matplotlib, and Pandas (Updated 11-2019).zip 6.6 GB

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【影视】 [Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]

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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 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
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB

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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 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
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB

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