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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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【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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【其他】 Hands-On Data Analysis with NumPy and pandas [Full]

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Hands-On_Data_Analysis_with_NumPy_and_Pandas.mobi 17.8 MB
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~Get Your Files Here !/1. Installations/1. Installing Anaconda Distribution for Windows.mp4 128.5 MB
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~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 65.4 MB
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~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 60.9 MB
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~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 56.4 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 54.4 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 53.8 MB
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~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 50.2 MB
~Get Your Files Here !/8. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp4 46.2 MB
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[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/1. Installations/1. Installing Anaconda Distribution for Windows.mp4 128.5 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/1. Installations/5. Installing Anaconda Distribution for Linux.mp4 125.6 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 87.7 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 84.8 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 70.3 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 65.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 62.2 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 60.9 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/2. NumPy Library Introduction/2. The Power of NumPy.mp4 58.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 56.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 54.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 53.8 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 52.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 50.2 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/8. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp4 46.2 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 45.9 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.5 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 44.7 MB
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【压缩文件】 [ DevCourseWeb.com ] Udemy - Python Programming - Basics, Multithreading, OOP and NumPy.zip

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【影视】 Using NumPy's np.arange() Effectively

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[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_1_params.mp4 29.1 MB
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[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_2_datatypes.mp4 18.8 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_4_arange_v_range.mp4 18.0 MB
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【影视】 [FreeTutorials.Us] deep-learning-prerequisites-the-numpy-stack-in-python

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06 Appendix/027 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
04 Matplotlib/021 Plotting Images.mp4 15.9 MB
02 Numpy/009 More Matrix Operations.mp4 13.2 MB
02 Numpy/003 Lists vs. Arrays.mp4 12.4 MB
05 Scipy/026 Other Interesting Scipy Functions.mp4 11.6 MB
01 Introduction and Outline/001 Whats this course about How can you succeed What should you know first.mp4 10.5 MB
05 Scipy/024 Sampling from a Gaussian Distribution Spherical and Axis-aligned Elliptical.mp4 10.1 MB
03 Pandas/014 More about DataFrames Selecting Rows and Columns.mp4 9.6 MB
03 Pandas/012 Manual Data Loading.mp4 9.5 MB
02 Numpy/004 Dot product 1 For loop vs. cosine method vs. dot function.mp4 9.2 MB
05 Scipy/022 Gaussian PDF and CDF.mp4 8.8 MB
02 Numpy/007 Generating Matrices to Work With.mp4 8.3 MB
04 Matplotlib/020 Histogram.mp4 7.7 MB
03 Pandas/013 DataFrames.mp4 7.5 MB
04 Matplotlib/019 Scatterplot.mp4 7.4 MB
01 Introduction and Outline/002 Where to get the code and how to install libraries.mp4 7.0 MB
02 Numpy/006 Vectors and Matrices.mp4 6.7 MB
04 Matplotlib/018 Line Chart.mp4 6.6 MB
03 Pandas/015 Even More about DataFrames Column Names.mp4 6.3 MB
03 Pandas/016 The apply Function.mp4 5.9 MB

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【影视】 Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python

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Chapter 6 Machine Learning Basics/003. Classification in Code.mp4 84.9 MB
Chapter 3 Matplotlib/007. Where to Learn More Matplotlib.mp4 55.8 MB
Chapter 6 Machine Learning Basics/002. What Is Classification.mp4 52.2 MB
Chapter 2 NumPy/007. Generating Data.mp4 50.1 MB
Chapter 1 Welcome and Logistics/001. Introduction and Outline.mp4 45.3 MB
Chapter 2 NumPy/005. Matrices.mp4 44.8 MB
Chapter 6 Machine Learning Basics/005. Regression in Code.mp4 43.5 MB
Chapter 6 Machine Learning Basics/009. Comparing Different Machine Learning Models.mp4 39.9 MB
Chapter 2 NumPy/002. Arrays Versus Lists.mp4 39.8 MB
Chapter 6 Machine Learning Basics/004. What Is Regression.mp4 39.7 MB
Chapter 4 Pandas/003. Selecting Rows and Columns.mp4 35.6 MB
Chapter 6 Machine Learning Basics/001. Machine Learning Section Introduction.mp4 35.2 MB
Chapter 6 Machine Learning Basics/010. Machine Learning and Deep Learning Future Topics.mp4 32.7 MB
Chapter 2 NumPy/009. Where to Learn More NumPy.mp4 32.7 MB
Chapter 5 SciPy/005. Where to Learn More SciPy.mp4 29.7 MB
Chapter 3 Matplotlib/005. Plotting Images.mp4 29.1 MB
Chapter 6 Machine Learning Basics/006. What Is a Feature Vector.mp4 29.0 MB
Chapter 2 NumPy/003. Dot Product.mp4 22.4 MB
Chapter 6 Machine Learning Basics/011. Machine Learning Section Summary.mp4 21.3 MB
Chapter 4 Pandas/007. Where to Learn More Pandas.mp4 21.3 MB

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15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB

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9 - Setting Up Your Environment FAQ by Student Request/45 - Anaconda Environment Setup.mp4 323.3 MB
8 - Machine Learning Basics/36 - Classification in Code.mp4 217.9 MB
9 - Setting Up Your Environment FAQ by Student Request/46 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.7 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
7 - Beginner Troubleshooting/33 - What if I dont meet the math prerequisites.mp4 121.2 MB
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.mp4 113.3 MB
2 - Numpy New/9 - Generating Data.mp4 90.7 MB
8 - Machine Learning Basics/38 - Regression in Code.mp4 81.0 MB
8 - Machine Learning Basics/35 - What is Classification.mp4 76.3 MB
12 - Appendix FAQ Finale/51 - BONUS.mp4 63.8 MB
1 - Welcome and Logistics/1 - Introduction and Outline.mp4 63.4 MB
2 - Numpy New/4 - Arrays vs Lists.mp4 45.4 MB
3 - Matplotlib New/19 - Where to Learn More Matplotlib.mp4 44.3 MB
2 - Numpy New/12 - Suggestion Box.mp4 41.6 MB
8 - Machine Learning Basics/39 - What is a Feature Vector.mp4 40.4 MB
8 - Machine Learning Basics/42 - Comparing Different Machine Learning Models.mp4 40.4 MB
2 - Numpy New/7 - Matrices.mp4 36.5 MB
8 - Machine Learning Basics/37 - What is Regression.mp4 36.4 MB
8 - Machine Learning Basics/34 - Machine Learning Section Introduction.mp4 35.7 MB

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10. Extra - Creating the 3D models/1. Modeling a tree.mp4 120.2 MB
10. Extra - Creating the 3D models/2. Modeling a house.mp4 92.8 MB
8. Adjusting the details/9. Removing near models.mp4 92.8 MB
3. Terrain generator/1. Creating the terrain.mp4 72.2 MB
8. Adjusting the details/2. Custom look at function.mp4 57.3 MB
7. Merging code snippets/3. Merging the import script.mp4 48.3 MB
8. Adjusting the details/6. Adding random models.mp4 46.9 MB
8. Adjusting the details/1. Working with shrinkwrap.mp4 43.4 MB
9. Extra - Exporting the scene/2. Importing into Godot.mp4 41.6 MB
8. Adjusting the details/3. Custom random direction.mp4 39.6 MB
5. Town generator/1. Parametric circle equation.mp4 37.2 MB
8. Adjusting the details/10. Removing overlapping house.mp4 37.1 MB
8. Adjusting the details/7. Random positions for the houses.mp4 35.6 MB
7. Merging code snippets/1. Merging the terrain and forest scripts.mp4 35.4 MB
7. Merging code snippets/2. Merging the town script.mp4 34.8 MB
8. Adjusting the details/5. Adding a custom material.mp4 34.3 MB
8. Adjusting the details/4. Random size.mp4 31.6 MB
9. Extra - Exporting the scene/1. Exporting to glTF.mp4 31.4 MB
4. Forest generator/1. Beta distibution.mp4 31.3 MB
1. Introduction/1. Introduction.mp4 31.2 MB

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【压缩文件】 Complete Data Analysis Course with Pandas & NumPy Python

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Complete Data Analysis Course with Pandas & NumPy Python.zip 4.3 GB
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9. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
9. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
5. Python Exercises/2. Solutions.mp4 114.7 MB
1. Introduction/1. What is Data analysis.mp4 100.4 MB
6. 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
8. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
6. Numpy/1. Creating NumPy array.mp4 89.3 MB
8. Data Frame Pandas/13. sorting values.mp4 88.9 MB
8. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
1. Introduction/2. Introduction to Pandas.mp4 82.2 MB
8. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
2. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
1. Introduction/3. Course FAQ.mp4 77.2 MB
8. 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
8. 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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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
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【压缩文件】 Getting Started with NumPy By amruta-mahajan

收录时间:2023-08-29 文档个数:34 文档大小:118.7 MB 最近下载:2024-09-21 人气:9757 磁力链接

exercise.zip 21.0 MB
4. Understanding the Ndarray Object/3. NumPy Data Types.mp4 11.4 MB
3. Setting up a Work Environment for NumPy/1. Package Managers - Pip and Conda.mp4 11.1 MB
5. Creating Ndarrays/1. Basic ndarray Creation Routines.mp4 8.4 MB
5. Creating Ndarrays/2. NDarray from Existing Data.mp4 7.7 MB
5. Creating Ndarrays/3. NDarray within a Numerical Range.mp4 7.3 MB
3. Setting up a Work Environment for NumPy/2. Installing NumPy Using Pip.mp4 7.2 MB
4. Understanding the Ndarray Object/4. Demo - Numpy Data Types.mp4 6.8 MB
3. Setting up a Work Environment for NumPy/3. Installing NumPy Using Conda.mp4 5.6 MB
4. Understanding the Ndarray Object/1. Understanding ndarray Object.mp4 5.1 MB
2. Introduction to NumPy/4. Comparison with Alternatives.mp4 5.1 MB
1. Course Overview/1. Course Overview.mp4 4.8 MB
2. Introduction to NumPy/1. NumPy - Basics.mp4 4.8 MB
2. Introduction to NumPy/2. History of NumPy.mp4 3.7 MB
4. Understanding the Ndarray Object/5. Attributes of the ndarray Object.mp4 3.5 MB
2. Introduction to NumPy/3. NumPy - Features and Benefits.mp4 3.4 MB
4. Understanding the Ndarray Object/2. Demo - Creating an ndarray.mp4 1.8 MB
3. Setting up a Work Environment for NumPy/1. Package Managers - Pip and Conda.vtt 7.3 kB
4. Understanding the Ndarray Object/3. NumPy Data Types.vtt 6.7 kB
4. Understanding the Ndarray Object/4. Demo - Numpy Data Types.vtt 5.9 kB

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【影视】 Numpy и Mathplotlib

收录时间:2020-02-29 文档个数:3 文档大小:2.6 GB 最近下载:2024-09-21 人气:5103 磁力链接

3.mp4 1.3 GB
2.mp4 857.9 MB
1.mp4 408.6 MB

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