- 【影视】 [ DevCourseWeb.com ] Udemy - NumPy, Pandas, Matplotlib in Python for Machine Learning
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~Get Your Files Here !/3. Pandas/9. Handling Missing Values.mp4 35.4 MB
~Get Your Files Here !/3. Pandas/6. DataFrame Operations.mp4 28.4 MB
~Get Your Files Here !/2. NumPy/18. Broadcasting.mp4 26.2 MB
~Get Your Files Here !/3. Pandas/13. Conditional Selection.mp4 25.7 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 22.5 MB
~Get Your Files Here !/3. Pandas/7. Handling Duplicates.mp4 21.2 MB
~Get Your Files Here !/4. Matplotlib/10. SubPlots.mp4 19.8 MB
~Get Your Files Here !/2. NumPy/16. String Operations.mp4 19.4 MB
~Get Your Files Here !/2. NumPy/7. Accessing And Slicing.mp4 19.1 MB
~Get Your Files Here !/3. Pandas/12. Slicing, Selecting, Extracting.mp4 18.7 MB
~Get Your Files Here !/4. Matplotlib/7. Histograms.mp4 18.6 MB
~Get Your Files Here !/4. Matplotlib/4. Bar Plots.mp4 18.6 MB
~Get Your Files Here !/2. NumPy/8. Initializing NumPy Array.mp4 18.6 MB
~Get Your Files Here !/2. NumPy/4. Space & Execution Time Test.mp4 16.3 MB
~Get Your Files Here !/3. Pandas/4. Series And DataFrame.mp4 15.5 MB
~Get Your Files Here !/2. NumPy/13. Re-Organising NumPy Arrays.mp4 14.7 MB
~Get Your Files Here !/3. Pandas/15. Other Useful Functions.mp4 13.6 MB
~Get Your Files Here !/4. Matplotlib/6. BoxPlots.mp4 13.1 MB
~Get Your Files Here !/2. NumPy/6. Basics Of NumPy.mp4 13.0 MB
~Get Your Files Here !/4. Matplotlib/8. Line Plots.mp4 12.7 MB
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- 【压缩文件】 [ CoursePig.com ] Udemy - Basics Data Science with Numpy, Pandas and Matplotlib.zip
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[ CoursePig.com ] Udemy - Basics Data Science with Numpy, Pandas and Matplotlib.zip 1.3 GB
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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 66.3 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 39.5 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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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 !/3. Fundamental NumPy Properties/2. Creating NumPy arrays.mp4 34.2 MB
~Get Your Files Here !/1. Python Quick Refresher/4. Anaconda Installation Windows, Mac & Ubuntu.mp4 32.6 MB
~Get Your Files Here !/3. Fundamental NumPy Properties/3. Indexing NumPy arrays.mp4 27.9 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/16. Filtering data using loc().mp4 22.7 MB
~Get Your Files Here !/3. Fundamental NumPy Properties/5. Iterating Over NumPy Arrays.mp4 21.3 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/17. Adding and deleting rows and columns.mp4 18.1 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/21. groupby().mp4 17.7 MB
~Get Your Files Here !/1. Python Quick Refresher/6. Managing Directories in Jupyter Notebook.mp4 17.2 MB
~Get Your Files Here !/1. Python Quick Refresher/2. Setting up Python.mp4 16.3 MB
~Get Your Files Here !/1. Python Quick Refresher/14. Loops.mp4 15.6 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/4. Creating a DataFrame using lists.mp4 14.2 MB
~Get Your Files Here !/1. Python Quick Refresher/12. Logical Operators.mp4 13.3 MB
~Get Your Files Here !/1. Python Quick Refresher/15. Sequences Lists.mp4 12.9 MB
~Get Your Files Here !/1. Python Quick Refresher/16. Sequences Dictionaries.mp4 11.4 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/18. Sorting Values.mp4 11.2 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/19. Exporting and saving pandas DataFrames.mp4 11.2 MB
~Get Your Files Here !/4. Mathematics for Data Science/15. Statistics.mp4 10.8 MB
~Get Your Files Here !/1. Python Quick Refresher/19. Functions User-defined Functions.mp4 10.7 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/6. Loading CSV data into python.mp4 10.6 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/15. Filtering rows using & and operators.mp4 9.8 MB
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02 - Python Refresher/004 Data Structures in Python.mp4 306.5 MB
02 - Python Refresher/002 String Functions in Python.mp4 184.3 MB
08 - Web Scraping & Data Analysis Using Python & SQL/001 How to Scrape a website in Python.mp4 150.8 MB
02 - Python Refresher/003 Control Flow VS Loops.mp4 124.2 MB
03 - Object Oriented Programming (OOP) In Python/002 Overviewing Constructor.mp4 92.2 MB
07 - Python Pandas Data Analysis & Visualization/005 Using Python Pandas Package to load PostgreSQL the Data Output file.mp4 85.9 MB
05 - Project Hangman Game/004 Project Solution Part 2.mp4 73.4 MB
04 - Project Color Choices Game/003 Project Solution.mp4 72.7 MB
02 - Python Refresher/001 Variables, Operators and Data Types in Python.mp4 68.0 MB
05 - Project Hangman Game/002 Project Helful Notes.mp4 61.3 MB
02 - Python Refresher/007 Files and Modules in Python.mp4 61.1 MB
04 - Project Color Choices Game/002 Project Helpful Notes.mp4 58.4 MB
08 - Web Scraping & Data Analysis Using Python & SQL/004 Save The Scraped Data to a Database.mp4 54.4 MB
01 - Introduction/002 Environment Preparing for Python.mp4 53.6 MB
02 - Python Refresher/006 Functions in Python.mp4 52.7 MB
08 - Web Scraping & Data Analysis Using Python & SQL/003 Data Visualization of the Scraped Data.mp4 51.5 MB
01 - Introduction/004 Understanding Data Types in Python.mp4 48.5 MB
01 - Introduction/003 Python2 VS Python3.mp4 45.9 MB
07 - Python Pandas Data Analysis & Visualization/009 Visualizing Data.mp4 43.2 MB
08 - Web Scraping & Data Analysis Using Python & SQL/002 Scrape a Table inside a Webpage using Pandas and LXML Python Modules!.mp4 43.1 MB
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- 【其他】 opt-175b-numpy (4-04-23)
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opt-175b-numpy (4-04-23) 349.2 GB
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- 【影视】 [FreeCourseSite.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
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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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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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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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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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~Get Your Files Here !/2. Numpy/4. Why we are using Numpy and why not List.mp4 89.4 MB
~Get Your Files Here !/4. Dataframe Manipulation/8. Filtering Functions.mp4 79.0 MB
~Get Your Files Here !/5. Missing Values/4. Working with Different Conditions.mp4 78.6 MB
~Get Your Files Here !/3. Pandas/2. Creating Dataframe from Series and Dictionary.mp4 76.6 MB
~Get Your Files Here !/4. Dataframe Manipulation/7. Group by Functions.mp4 75.9 MB
~Get Your Files Here !/4. Dataframe Manipulation/1. Importing Dataset.mp4 73.4 MB
~Get Your Files Here !/3. Pandas/7. Dataframe Operations.mp4 72.6 MB
~Get Your Files Here !/3. Pandas/6. Unipivot Dataframe.mp4 64.9 MB
~Get Your Files Here !/4. Dataframe Manipulation/6. Descriptive Statisitcs.mp4 63.9 MB
~Get Your Files Here !/4. Dataframe Manipulation/5. Dropping Variables.mp4 62.3 MB
~Get Your Files Here !/2. Numpy/2. Comparision Between List.mp4 58.7 MB
~Get Your Files Here !/3. Pandas/5. Joins and Pivot.mp4 58.6 MB
~Get Your Files Here !/3. Pandas/3. Making Dataframe from Dictionary.mp4 57.8 MB
~Get Your Files Here !/3. Pandas/8. Slicing.mp4 54.3 MB
~Get Your Files Here !/2. Numpy/1. Importing Numpy Package and Basic Commands.mp4 50.9 MB
~Get Your Files Here !/5. Missing Values/2. Missing Values Introduction.mp4 50.8 MB
~Get Your Files Here !/1. Introduction/1. Introduction to Numpy.mp4 50.4 MB
~Get Your Files Here !/3. Pandas/9. Dicing.mp4 49.9 MB
~Get Your Files Here !/2. Numpy/10. Concatenate Functions.mp4 48.2 MB
~Get Your Files Here !/3. Pandas/4. Concatenate Dataframe.mp4 48.2 MB
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Python Data Analytics With Pandas and NumPy.zip 950.1 MB
Download more courses.url 123 Bytes
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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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3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
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3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 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 136.2 MB
17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 132.2 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 119.3 MB
3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
7. Jupyter/1. What is Jupyter.mp4 108.4 MB
9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.2 MB
14. FFTs/1. FFTs and Inverse FFT.mp4 94.6 MB
3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 88.6 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 85.8 MB
17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 83.8 MB
17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.3 MB
3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.6 MB
17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 82.2 MB
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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
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08 Setting Up Your Environment (FAQ by Student Request)/044 Windows-Focused Environment Setup 2018.mp4 195.3 MB
07 Machine Learning Basics/035 Classification in Code.mp4 131.5 MB
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
03 Matplotlib (New)/019 Where to Learn More Matplotlib.mp4 80.9 MB
02 Numpy (New)/009 Generating Data.mp4 66.2 MB
07 Machine Learning Basics/034 What is Classification_.mp4 65.2 MB
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01 Welcome and Logistics/001 Introduction and Outline.mp4 63.4 MB
02 Numpy (New)/007 Matrices.mp4 60.0 MB
02 Numpy (New)/004 Arrays vs Lists.mp4 53.2 MB
04 Pandas (New)/022 Selecting Rows and Columns.mp4 51.5 MB
07 Machine Learning Basics/041 Comparing Different Machine Learning Models.mp4 47.7 MB
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
07 Machine Learning Basics/036 What is Regression_.mp4 45.3 MB
05 Scipy (New)/031 Where to Learn More Scipy.mp4 40.8 MB
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11 Appendix _ FAQ Finale/050 BONUS_ Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
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