- 【影视】 [Tutorialsplanet.NET] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn
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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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~Get Your Files Here !/11. Pandas - Data Description/2. Importing the data.mp4 133.6 MB
~Get Your Files Here !/15. Dealing with wrong data/1. Wrong Data.mp4 99.5 MB
~Get Your Files Here !/27. WHERE, AND, OR, IN, BETWEEN/1. WHERE, AND, OR, IN, BETWEEN.mp4 85.0 MB
~Get Your Files Here !/14. Dealing with Empty cells/2. Empty cells.mp4 70.1 MB
~Get Your Files Here !/4. AccessingChanging Specific Elements, Rows, Columns, etc/1. AccessingChanging Specific Elements.mp4 54.5 MB
~Get Your Files Here !/12. Creating a DataFrame/2. Creating a DataFrame.mp4 54.0 MB
~Get Your Files Here !/5. Initializing Different Arrays (1s, 0s, full, random, etc)/1. Initializing an Array.mp4 52.0 MB
~Get Your Files Here !/21. Insert data into a table/1. Insert data into a table.mp4 51.8 MB
~Get Your Files Here !/11. Pandas - Data Description/1. Data Description.mp4 50.6 MB
~Get Your Files Here !/17. Dealing with duplicate data/1. Duplicates.mp4 50.0 MB
~Get Your Files Here !/26. Limit, alias, distinct/1. Limit, alias, distinct.mp4 49.9 MB
~Get Your Files Here !/16. Dealing with wrong data type/1. Wrong Datatype.mp4 47.6 MB
~Get Your Files Here !/28. Aggregate and Group by command/1. Aggregate and Group by command.mp4 47.3 MB
~Get Your Files Here !/20. Creating a table/1. Creating a table.mp4 45.8 MB
~Get Your Files Here !/25. Order by command/1. Order by command.mp4 37.8 MB
~Get Your Files Here !/7. Linear Algebra and Statistics/1. Linear Algebra and Statistics.mp4 36.0 MB
~Get Your Files Here !/3. Basics of NumPy/2. NumPy Datatypes.mp4 30.9 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 29.5 MB
~Get Your Files Here !/22. Alter data in a table/1. Alter data in a table.mp4 28.5 MB
~Get Your Files Here !/6. Basic Mathematics (arithmetic, trigonometry, etc.)/1. Basic Mathematics.mp4 27.0 MB
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- 【影视】 Data Analysis with Python NumPy & Pandas Masterclass
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Data Analysis with Python NumPy & Pandas Masterclass 4.4 GB
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~Get Your Files Here !/1 - Understanding Lists are different from Numpy arrays/2 - Working with builtin functions in Lists.mp4 90.8 MB
~Get Your Files Here !/2 - Functions in Python/4 - Examples on Functions.mp4 59.3 MB
~Get Your Files Here !/1 - Understanding Lists are different from Numpy arrays/1 - Creating & Accessing Listsin Python.mp4 43.7 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/11 - Slicing an Array.mp4 42.0 MB
~Get Your Files Here !/2 - Functions in Python/3 - Functions.mp4 33.8 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/21 - Searching for an Element in Array.mp4 30.2 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/22 - Filtering an Array.mp4 17.4 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/10 - Using Negative Indexing to access elements in 2D array.mp4 14.5 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/7 - Creating & Accessing elements in 2D Array.mp4 13.2 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/13 - Copy Operation on an array.mp4 13.0 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/20 - Sorting an Array.mp4 11.0 MB
~Get Your Files Here !/4 - Quizzes/34 - Solution to Question 5.mp4 10.5 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/8 - Finding Dimension of the Array.mp4 9.3 MB
~Get Your Files Here !/4 - Quizzes/30 - Solution to Question 3.mp4 8.8 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/19 - Splitting an Array.mp4 8.8 MB
~Get Your Files Here !/4 - Quizzes/32 - Solution to Question 4.mp4 8.2 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/17 - Reshaping 1D Array to 2D Array.mp4 8.2 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/18 - Joining Two Arrays.mp4 8.1 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/5 - Online IDE for running Python Numpy programs.mp4 6.9 MB
~Get Your Files Here !/3 - Using Numpy Module in Python/9 - Using Negative Indexing to access elements in 1D array.mp4 6.6 MB
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~Get Your Files Here !/19. WHERE, AND, OR, IN, BETWEEN/1. WHERE, AND, OR, IN, BETWEEN.mp4 85.0 MB
~Get Your Files Here !/4. AccessingChanging Specific Elements, Rows, Columns, etc/1. AccessingChanging Specific Elements.mp4 54.5 MB
~Get Your Files Here !/5. Initializing Different Arrays (1s, 0s, full, random, etc)/1. Initializing Different Arrays.mp4 52.0 MB
~Get Your Files Here !/13. Insert data into a table/1. Insert data into a table.mp4 51.8 MB
~Get Your Files Here !/20. Aggregate and Group by command/1. Aggregate and Group by command.mp4 47.3 MB
~Get Your Files Here !/12. Creating a table/1. Creating a table.mp4 45.8 MB
~Get Your Files Here !/17. Order by command/1. Order by command.mp4 37.8 MB
~Get Your Files Here !/7. Linear Algebra and Statistics/1. Linear Algebra and Statistics.mp4 36.0 MB
~Get Your Files Here !/3. Basics of NumPy/2. NumPy Datatypes.mp4 30.9 MB
~Get Your Files Here !/14. Alter data in a table/1. Alter data in a table.mp4 28.5 MB
~Get Your Files Here !/6. Basic Mathematics (arithmetic, trigonometry, etc.)/1. Basic Mathematics.mp4 27.0 MB
~Get Your Files Here !/2. NumPy and it's Applications/1. Tour.mp4 25.9 MB
~Get Your Files Here !/8. Reorganizing Arrays/1. Reorganizing Arrays.mp4 25.3 MB
~Get Your Files Here !/18. Limit, alias, distinct/2. Alias.mp4 24.9 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 23.0 MB
~Get Your Files Here !/2. NumPy and it's Applications/2. NumPy and it's Applications.mp4 20.1 MB
~Get Your Files Here !/10. Advanced Indexing and Boolean Masking/1. Advanced Indexing and Boolean Masking.mp4 18.4 MB
~Get Your Files Here !/16. Drop a row/1. Drop a row.mp4 16.5 MB
~Get Your Files Here !/18. Limit, alias, distinct/3. Distinct.mp4 15.5 MB
~Get Your Files Here !/18. Limit, alias, distinct/1. Limit, alias, distinct.mp4 15.4 MB
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~Get Your Files Here !/1. Installations/1. Installing Anaconda Distribution for Windows.mp4 128.5 MB
~Get Your Files Here !/1. Installations/5. Installing Anaconda Distribution for Linux.mp4 125.6 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 87.7 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 84.8 MB
~Get Your Files Here !/6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 70.3 MB
~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 65.4 MB
~Get Your Files Here !/16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 62.2 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 60.9 MB
~Get Your Files Here !/1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
~Get Your Files Here !/2. NumPy Library Introduction/2. The Power of NumPy.mp4 58.4 MB
~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
~Get Your Files Here !/15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 52.4 MB
~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
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 45.9 MB
~Get Your Files Here !/2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.5 MB
~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 44.7 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 44.6 MB
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09 - Setting Up Your Environment (FAQ by Student Request)/001 Anaconda Environment Setup.mp4 176.2 MB
08 - Machine Learning Basics/003 Classification in Code.mp4 125.6 MB
09 - Setting Up Your Environment (FAQ by Student Request)/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 114.5 MB
11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.1 MB
11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.4 MB
07 - Beginner Troubleshooting/001 What if I don't meet the math prerequisites_.mp4 77.5 MB
10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 Proof that using Jupyter Notebook is the same as not using it.mp4 67.5 MB
01 - Welcome and Logistics/001 Introduction and Outline.mp4 63.4 MB
02 - Numpy (New)/007 Generating Data.mp4 55.3 MB
08 - Machine Learning Basics/005 Regression in Code.mp4 48.3 MB
08 - Machine Learning Basics/002 What is Classification_.mp4 46.2 MB
02 - Numpy (New)/002 Arrays vs Lists.mp4 31.8 MB
03 - Matplotlib (New)/007 Where to Learn More Matplotlib.mp4 31.4 MB
02 - Numpy (New)/005 Matrices.mp4 27.7 MB
08 - Machine Learning Basics/009 Comparing Different Machine Learning Models.mp4 26.8 MB
08 - Machine Learning Basics/004 What is Regression_.mp4 25.6 MB
02 - Numpy (New)/001 Numpy Section Introduction.mp4 25.2 MB
04 - Pandas (New)/003 Selecting Rows and Columns.mp4 24.8 MB
08 - Machine Learning Basics/006 What is a Feature Vector.mp4 24.8 MB
08 - Machine Learning Basics/001 Machine Learning_ Section Introduction.mp4 22.5 MB
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~Get Your Files Here !/10. Extra - Creating the 3D models/1. Modeling a tree.mp4 120.2 MB
~Get Your Files Here !/10. Extra - Creating the 3D models/2. Modeling a house.mp4 92.8 MB
~Get Your Files Here !/8. Adjusting the details/9. Removing near models.mp4 92.8 MB
~Get Your Files Here !/3. Terrain generator/1. Creating the terrain.mp4 72.2 MB
~Get Your Files Here !/8. Adjusting the details/2. Custom look at function.mp4 57.3 MB
~Get Your Files Here !/7. Merging code snippets/3. Merging the import script.mp4 48.3 MB
~Get Your Files Here !/8. Adjusting the details/6. Adding random models.mp4 46.9 MB
~Get Your Files Here !/8. Adjusting the details/1. Working with shrinkwrap.mp4 43.4 MB
~Get Your Files Here !/9. Extra - Exporting the scene/2. Importing into Godot.mp4 41.6 MB
~Get Your Files Here !/8. Adjusting the details/3. Custom random direction.mp4 39.6 MB
~Get Your Files Here !/5. Town generator/1. Parametric circle equation.mp4 37.2 MB
~Get Your Files Here !/8. Adjusting the details/10. Removing overlapping house.mp4 37.1 MB
~Get Your Files Here !/8. Adjusting the details/7. Random positions for the houses.mp4 35.6 MB
~Get Your Files Here !/7. Merging code snippets/1. Merging the terrain and forest scripts.mp4 35.4 MB
~Get Your Files Here !/7. Merging code snippets/2. Merging the town script.mp4 34.8 MB
~Get Your Files Here !/8. Adjusting the details/5. Adding a custom material.mp4 34.3 MB
~Get Your Files Here !/8. Adjusting the details/4. Random size.mp4 31.6 MB
~Get Your Files Here !/9. Extra - Exporting the scene/1. Exporting to glTF.mp4 31.4 MB
~Get Your Files Here !/4. Forest generator/1. Beta distibution.mp4 31.3 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 31.2 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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- 【影视】 Pandas & NumPy Python Programming Language Libraries A-Z™
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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
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 44.6 MB
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2. Exploring Multidimensional Data Using NumPy/08. Indexing and Slicing Arrays.mp4 14.1 MB
2. Exploring Multidimensional Data Using NumPy/04. Creating Arrays.mp4 13.5 MB
3. Complex Indexing Using NumPy/06. Broadcasting.mp4 12.4 MB
3. Complex Indexing Using NumPy/03. Fancy Indexing with GDP Data.mp4 11.5 MB
4. Leveraging Other Python Libraries with NumPy/2. Working with Pandas.mp4 11.2 MB
2. Exploring Multidimensional Data Using NumPy/10. Reshaping Arrays.mp4 11.1 MB
2. Exploring Multidimensional Data Using NumPy/12. Image Manipulation.mp4 10.6 MB
2. Exploring Multidimensional Data Using NumPy/06. Basic Array Operations.mp4 10.5 MB
exercise.7z 10.5 MB
3. Complex Indexing Using NumPy/02. Indexing Arrays Using Arrays.mp4 9.4 MB
3. Complex Indexing Using NumPy/11. Miscellaneous Operations.mp4 9.3 MB
2. Exploring Multidimensional Data Using NumPy/09. Iterating Over Arrays.mp4 8.6 MB
3. Complex Indexing Using NumPy/04. Indexing with Boolean Arrays.mp4 8.6 MB
4. Leveraging Other Python Libraries with NumPy/3. Working with SciPy.mp4 7.5 MB
3. Complex Indexing Using NumPy/07. Broadcasting Scalars and Arrays.mp4 6.8 MB
3. Complex Indexing Using NumPy/05. Arrays with Structured Data.mp4 6.5 MB
2. Exploring Multidimensional Data Using NumPy/07. Universal Functions.mp4 6.2 MB
2. Exploring Multidimensional Data Using NumPy/13. Shallow Copies Using View.mp4 5.6 MB
3. Complex Indexing Using NumPy/09. Stacking Arrays.mp4 5.6 MB
3. Complex Indexing Using NumPy/10. Histograms.mp4 5.0 MB
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09 - Setting Up Your Environment (FAQ by Student Request)/001 Anaconda Environment Setup.mp4 176.2 MB
08 - Machine Learning Basics/003 Classification in Code.mp4 125.6 MB
09 - Setting Up Your Environment (FAQ by Student Request)/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 114.5 MB
11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.1 MB
11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.4 MB
07 - Beginner Troubleshooting/001 What if I don't meet the math prerequisites_.mp4 77.5 MB
10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 Proof that using Jupyter Notebook is the same as not using it.mp4 67.5 MB
01 - Welcome and Logistics/001 Introduction and Outline.mp4 63.4 MB
02 - Numpy (New)/007 Generating Data.mp4 55.3 MB
08 - Machine Learning Basics/005 Regression in Code.mp4 48.3 MB
08 - Machine Learning Basics/002 What is Classification_.mp4 46.2 MB
02 - Numpy (New)/002 Arrays vs Lists.mp4 31.8 MB
03 - Matplotlib (New)/007 Where to Learn More Matplotlib.mp4 31.4 MB
02 - Numpy (New)/005 Matrices.mp4 27.7 MB
08 - Machine Learning Basics/009 Comparing Different Machine Learning Models.mp4 26.8 MB
08 - Machine Learning Basics/004 What is Regression_.mp4 25.6 MB
02 - Numpy (New)/001 Numpy Section Introduction.mp4 25.2 MB
04 - Pandas (New)/003 Selecting Rows and Columns.mp4 24.8 MB
08 - Machine Learning Basics/006 What is a Feature Vector.mp4 24.8 MB
08 - Machine Learning Basics/001 Machine Learning_ Section Introduction.mp4 22.5 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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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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2 - Einfuhrung & Installation/10 - Windows Installation von VS Code.mp4 167.2 MB
2 - Einfuhrung & Installation/13 - Kurs-Struktur-mit-L-sung.zip 165.7 MB
10 - Scipy/70 - Curve Fitting.mp4 101.4 MB
3 - Python Basics/19 - Operators.mp4 100.6 MB
10 - Scipy/68 - Simple Optimierung von Funktionen.mp4 99.5 MB
6 - Methoden und Funktionen/35 - Funktionen mit mehreren Parametern 1.mp4 97.7 MB
7 - NumPy/47 - For Schleife vs DotFunktion.mp4 97.4 MB
2 - Einfuhrung & Installation/6 - Windows Installation Python und Anaconda.mp4 96.5 MB
3 - Python Basics/18 - Strings.mp4 87.0 MB
6 - Methoden und Funktionen/32 - Globale und lokale Variablen.mp4 82.6 MB
6 - Methoden und Funktionen/44 - Rekursive Funktion.mp4 80.9 MB
6 - Methoden und Funktionen/43 - call by value und call by name.mp4 74.0 MB
7 - NumPy/46 - Lists vs Arrays.mp4 70.3 MB
3 - Python Basics/15 - Variablen.mp4 68.9 MB
8 - Pandas/53 - autos-full.csv 68.4 MB
8 - Pandas/54 - autos-full.csv 68.4 MB
3 - Python Basics/17 - Casting.mp4 68.4 MB
9 - Matplotlib/62 - Balkendiagramme.mp4 66.4 MB
9 - Matplotlib/63 - Tortendiagramm 1.mp4 66.0 MB
8 - Pandas/58 - Anderungen durchfuhren DFApply.mp4 65.0 MB
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~Get Your Files Here !/6 - Indexing and Slicing in Numpy array/25 - Slicing in 1D and 2D Numpy array.mp4 89.8 MB
~Get Your Files Here !/6 - Indexing and Slicing in Numpy array/26 - Slicing in 3D Numpy array.mp4 64.1 MB
~Get Your Files Here !/5 - Numpy Array Function/22 - Understanding round floor ceil in numpy.mp4 62.5 MB
~Get Your Files Here !/11 - Advance Level/37 - Searching in Numpy Array.mp4 57.1 MB
~Get Your Files Here !/5 - Numpy Array Function/20 - Dot product of an Numpy array.mp4 52.6 MB
~Get Your Files Here !/1 - Introduction/2 - Why we Use Numpy Over Python List.mp4 50.5 MB
~Get Your Files Here !/5 - Numpy Array Function/18 - Understanding the Axis and Sum Min Max.mp4 45.9 MB
~Get Your Files Here !/3 - Numpy Array Attributes/13 - Find the Itemsize of the array.mp4 41.5 MB
~Get Your Files Here !/11 - Advance Level/38 - Sorting a Numpy Array.mp4 40.2 MB
~Get Your Files Here !/6 - Indexing and Slicing in Numpy array/24 - Indexing on 2D array and 3D numpy array.mp4 38.9 MB
~Get Your Files Here !/9 - Joining Two Array/33 - How to Join to array.mp4 38.4 MB
~Get Your Files Here !/10 - Splitting Two Array/36 - Code for Splitting an array.mp4 37.1 MB
~Get Your Files Here !/2 - How to Create Numpy Array/5 - Create 1D 2D 3D Numpy array.mp4 32.9 MB
~Get Your Files Here !/5 - Numpy Array Function/19 - Finding Mean Median Variance of Numpy Array.mp4 32.6 MB
~Get Your Files Here !/7 - Iteration of Numpy Array/29 - Iterating 3D array.mp4 31.2 MB
~Get Your Files Here !/6 - Indexing and Slicing in Numpy array/23 - What is the Indexing and Slicing.mp4 30.6 MB
~Get Your Files Here !/2 - How to Create Numpy Array/8 - Reshape the numpy array.mp4 28.8 MB
~Get Your Files Here !/1 - Introduction/3 - Applications of Numpy.mp4 26.4 MB
~Get Your Files Here !/1 - Introduction/1 - Introduction of Numpy.mp4 25.9 MB
~Get Your Files Here !/2 - How to Create Numpy Array/10 - Create array Using linspace.mp4 25.5 MB
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6 - Indexing and Slicing in Numpy array/25 - Slicing in 1D and 2D Numpy array.mp4 89.8 MB
6 - Indexing and Slicing in Numpy array/26 - Slicing in 3D Numpy array.mp4 64.1 MB
5 - Numpy Array Function/22 - Understanding round floor ceil in numpy.mp4 62.5 MB
11 - Advance Level/37 - Searching in Numpy Array.mp4 57.1 MB
5 - Numpy Array Function/20 - Dot product of an Numpy array.mp4 52.6 MB
1 - Introduction/2 - Why we Use Numpy Over Python List.mp4 50.5 MB
5 - Numpy Array Function/18 - Understanding the Axis and Sum Min Max.mp4 45.9 MB
3 - Numpy Array Attributes/13 - Find the Itemsize of the array.mp4 41.5 MB
11 - Advance Level/38 - Sorting a Numpy Array.mp4 40.2 MB
6 - Indexing and Slicing in Numpy array/24 - Indexing on 2D array and 3D numpy array.mp4 38.9 MB
9 - Joining Two Array/33 - How to Join to array.mp4 38.4 MB
10 - Splitting Two Array/36 - Code for Splitting an array.mp4 37.1 MB
2 - How to Create Numpy Array/5 - Create 1D 2D 3D Numpy array.mp4 32.9 MB
5 - Numpy Array Function/19 - Finding Mean Median Variance of Numpy Array.mp4 32.6 MB
7 - Iteration of Numpy Array/29 - Iterating 3D array.mp4 31.2 MB
6 - Indexing and Slicing in Numpy array/23 - What is the Indexing and Slicing.mp4 30.6 MB
2 - How to Create Numpy Array/8 - Reshape the numpy array.mp4 28.8 MB
1 - Introduction/3 - Applications of Numpy.mp4 26.4 MB
1 - Introduction/1 - Introduction of Numpy.mp4 25.9 MB
2 - How to Create Numpy Array/10 - Create array Using linspace.mp4 25.5 MB
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1. Installations/5. Installing Anaconda Distribution for Linux.mp4 125.7 MB
6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 70.3 MB
2. NumPy Library Introduction/2. The Power of NumPy.mp4 58.4 MB
2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.6 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 44.8 MB
3. Creating NumPy Array in Python/8. Creating NumPy Array with Random() Function.mp4 41.9 MB
1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 39.9 MB
4. Functions in the NumPy Library/4. Concatenating Numpy Arrays Concatenate() Functio.mp4 37.6 MB
4. Functions in the NumPy Library/6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4 34.9 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/5. Assigning Value to Two-Dimensional Array.mp4 34.1 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/3. Slicing Two-Dimensional Numpy Arrays.mp4 33.0 MB
6. Operations in Numpy Library/3. Statistical Operations in Numpy.mp4 31.7 MB
3. Creating NumPy Array in Python/1. Creating NumPy Array with The Array() Function.mp4 28.7 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/1. Indexing Numpy Arrays.mp4 25.9 MB
4. Functions in the NumPy Library/1. Reshaping a NumPy Array Reshape() Function.mp4 25.6 MB
3. Creating NumPy Array in Python/2. Creating NumPy Array with Zeros() Function.mp4 23.9 MB
6. Operations in Numpy Library/4. Solving Second-Degree Equations with NumPy.mp4 23.5 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/2. Slicing One-Dimensional Numpy Arrays.mp4 21.8 MB
3. Creating NumPy Array in Python/9. Properties of NumPy Array.mp4 21.7 MB
6. Operations in Numpy Library/1. Operations with Comparison Operators.mp4 20.8 MB
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~Get Your Files Here !/3. NumPy - Indexing and Slicing/1. NumPy Array Indexing.mp4 117.2 MB
~Get Your Files Here !/1. NumPy - Introduction & Setup/2. Install NumPy (Set Environment).mp4 103.8 MB
~Get Your Files Here !/6. NumPy - Operations/3. Arithmetic Operations on NumPy Arrays.mp4 100.0 MB
~Get Your Files Here !/5. NumPy - Join, Split, Search, Sort/1. Join NumPy Arrays.mp4 95.9 MB
~Get Your Files Here !/5. NumPy - Join, Split, Search, Sort/2. Split NumPy Arrays.mp4 86.8 MB
~Get Your Files Here !/6. NumPy - Operations/4. Scalar Operations on NumPy Arrays.mp4 80.4 MB
~Get Your Files Here !/3. NumPy - Indexing and Slicing/2. NumPy Array Slicing.mp4 75.8 MB
~Get Your Files Here !/6. NumPy - Operations/1. Intersection of NumPy Arrays.mp4 70.1 MB
~Get Your Files Here !/4. NumPy - Shape, Reshape, Iterate/3. Iterate a NumPy Array.mp4 67.5 MB
~Get Your Files Here !/4. NumPy - Shape, Reshape, Iterate/1. Array Shape.mp4 66.6 MB
~Get Your Files Here !/6. NumPy - Operations/5. Statistical Operations on NumPy Arrays.mp4 59.6 MB
~Get Your Files Here !/2. NumPy - Basics/4. NumPy DataTypes.mp4 59.2 MB
~Get Your Files Here !/6. NumPy - Operations/2. Difference between NumPy Arrays.mp4 55.5 MB
~Get Your Files Here !/5. NumPy - Join, Split, Search, Sort/4. Sort NumPy Arrays.mp4 54.8 MB
~Get Your Files Here !/7. NumPy - Miscellaneous/1. NumPy Random Module.mp4 53.1 MB
~Get Your Files Here !/4. NumPy - Shape, Reshape, Iterate/2. Reshape a NumPy Array.mp4 43.3 MB
~Get Your Files Here !/5. NumPy - Join, Split, Search, Sort/5. Axes in NumPy Arrays.mp4 39.2 MB
~Get Your Files Here !/2. NumPy - Basics/2. Dimensions in NumPy Arrays.mp4 38.4 MB
~Get Your Files Here !/2. NumPy - Basics/1. Create NumPy Arrays.mp4 36.9 MB
~Get Your Files Here !/7. NumPy - Miscellaneous/3. LCM and HCF.mp4 31.9 MB
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