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Beginning Data Science (Track)
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[TutsNode.net] - TeamTreehouse - Beginning Data Science (Track)
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12. Introduction to NumPy
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03. Array Programming
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01. New Way of Thinking.webm - 55.23 MB
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02. Universal Functions.webm - 42.94 MB
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04. Plotting.webm - 38.74 MB
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03. Routines in Action.webm - 38.46 MB
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05. No Problem.webm - 17.91 MB
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Project Files
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python-intro-to-numpy.zip - 57.71 KB
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02. Array Organization
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01. Indexing.webm - 48.99 MB
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02. Boolean Array Indexing.webm - 45.36 MB
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04. Manipulation.webm - 43.46 MB
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03. Slicing.webm - 28.2 MB
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Project Files
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python-intro-to-numpy.zip - 57.71 KB
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01. Meet NumPy
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01. Welcome.webm - 46.3 MB
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03. Introducing Arrays.webm - 38.46 MB
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05. Multidimensional Arrays.webm - 35.33 MB
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04. Creating the Study Log.webm - 29.11 MB
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02. Getting Setup.webm - 17.49 MB
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Project Files
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python-intro-to-numpy.zip - 57.71 KB
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Introduction to NumPy.md - 4.41 KB
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19. Introduction to Big Data
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01. What is Big Data
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04. Exploring Our New Problems.webm - 41.33 MB
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03. The Importance of Big Data.webm - 22.77 MB
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01. Welcome.webm - 19.16 MB
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02. Characteristics of Big Data.webm - 10.04 MB
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02. Where and How is Big Data Used
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03. Domain Data Storage.webm - 34.58 MB
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04. Domain Computations.webm - 29.31 MB
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02. Types of Data.webm - 22.4 MB
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05. Domain Infrastructure.webm - 17.49 MB
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01. Where is it Being Used.webm - 14.11 MB
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03. Big Data at Netflix
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01. What Problems Does Netflix Have.webm - 29.49 MB
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03. Wrapping Up.webm - 27.63 MB
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02. How Does Netflix Apply Big Data Tools to Solve these Problems.webm - 17.38 MB
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Introduction to Big Data.md - 4.2 KB
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13. Introduction to pandas
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0. Meet pandas
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0.Welcome.webm - 39.76 MB
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2.Vectorization and Broadcasting Review.webm - 13.69 MB
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1.Meet Series.webm - 11.99 MB
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3.Meet DataFrames.webm - 11.6 MB
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4.Onwards.webm - 4.77 MB
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Instruction
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Accessing a DataFrame.png - 718.01 KB
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Accessing a Series.png - 680 KB
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Series Vectorization and Broadcasting.png - 553.42 KB
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Creating a Series.png - 511.47 KB
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Creating a DataFrame.png - 465.05 KB
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About This Course.png - 300.66 KB
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Project Files
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python-introducing-pandas-1.2.0.zip - 88.32 KB
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1. Exploring pandas
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3.Until Next Time.webm - 13.71 MB
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0.Importing Data.webm - 9.01 MB
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2.Combining DataFrames.webm - 8.95 MB
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1.Manipulation.webm - 5.47 MB
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Instruction
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Manipulation Techniques.png - 1.24 MB
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Exploration Methods.png - 1.22 MB
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Combining DataFrames.png - 1.21 MB
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Grouping.png - 945.93 KB
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Handling Duplicated and Missing Data.png - 862.95 KB
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Selecting Data.png - 751.58 KB
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Manipulating Text.png - 725.39 KB
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Optional Challenge #3 - Verified Email List.png - 419.33 KB
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Optional Challenge #2 - Update Users.png - 399.39 KB
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Optional Challenge #1 - Top Referrers.png - 393.99 KB
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17. Scraping Data From the Web
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02. A World Full of Spiders
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04. The Endless Web.webm - 38.37 MB
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01. Everyone Loves Charlotte.webm - 27.89 MB
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03. Crawling Spiders.webm - 19.59 MB
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02. Installing Scrapy.webm - 11.9 MB
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Project Files
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scraping_data_from_the_web.zip - 37.26 KB
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01. Introducing Data Scraping
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05. Being a Good Citizen.webm - 31.17 MB
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01. What is Data Scraping.webm - 31.01 MB
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03. Beautiful Soup.webm - 27.18 MB
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04. More Soup in the Tureen.webm - 23.56 MB
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02. Web Page Anatomy.webm - 18.79 MB
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Project Files
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scraping_data_from_the_web.zip - 37.26 KB
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03. Additional Scraping Tasks
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02. Scraping APIs.webm - 22.92 MB
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03. Using Scrapers for Site Testing.webm - 22.21 MB
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01. An Intelligent Spider.webm - 19.85 MB
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05. Wrapping Up.webm - 7.32 MB
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Project Files
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scraping_data_from_the_web.zip - 37.26 KB
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04. Common Issues with Data Scraping.md - 1.67 KB
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Scraping Data From the Web.md - 4.08 KB
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01. Data Analysis Basics
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01. Introducing Data Analysis
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04. Getting Good Data is Hard.webm - 37.57 MB
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02. Data is Everywhere.webm - 25.82 MB
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01. Making Better Decisions with Data Analysis.webm - 22.24 MB
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03. Creating a Spreadsheet.webm - 17.91 MB
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Project Files
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marathon_results_2017.csv - 4 MB
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03. The Data Analysis Process
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04. Presenting Your Findings.webm - 30.37 MB
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01. Understanding Metrics.webm - 28.73 MB
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02. Defining Terms.webm - 20.44 MB
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03. Analyzing the Data.webm - 14.43 MB
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02. Getting to Know Your Data
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01. Summarizing Data Maximum, Minimum, Range.webm - 17.91 MB
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05. Visualizing Data.webm - 15.99 MB
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07. Charting Our Data Part 2.webm - 12.63 MB
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04. Is Our Data Normal.webm - 10.71 MB
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03. Analyzing Data Spread.webm - 9.54 MB
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02. Summarizing Data Mean, Median, Mode.webm - 9.26 MB
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06. Charting Our Data Part 1.webm - 9.12 MB
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Data Analysis Basics.md - 3.91 KB
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02. Python Basics
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01. Meet Python
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01. Welcome.webm - 35.87 MB
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07. Input and Coding Style.webm - 25.83 MB
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04. Syntax and Errors.webm - 23.06 MB
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03. The Python Shell.webm - 20.53 MB
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05. Variables.webm - 20.28 MB
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02. Running Scripts.webm - 14.24 MB
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06. Code Challenges.md - 908 B
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03. Functions and Looping
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01. Functions.webm - 30.28 MB
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02. Returning Values.webm - 24.82 MB
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05. While Loops.webm - 24.61 MB
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03. Expecting Exceptions.webm - 18.57 MB
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04. Raising Exceptions.webm - 15.95 MB
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06. For Loops.webm - 11.23 MB
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02. Types and Branching
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01. Numeric.webm - 27.06 MB
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06. Comparisons.webm - 25.42 MB
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05. If, Else and Elif.webm - 22.88 MB
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04. Booleans.webm - 17.58 MB
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02. Strings and Operators.webm - 14.02 MB
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03. String Methods.webm - 13.39 MB
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04. All Together Now
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05. Cleaner Code Through Refactoring.webm - 21.1 MB
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04. Handle Exceptions.webm - 19.96 MB
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03. Branch and Loop.webm - 19.29 MB
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06. Wrapping Up.webm - 18.82 MB
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01. The Project.webm - 17.47 MB
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02. Gather Information.webm - 12.63 MB
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Python Basics.md - 5.63 KB
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14. Preparing Data for Analysis
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02. Data Cleaning
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01. Cleaning A Spreadsheet.webm - 35.38 MB
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04. Cleaning A CSV Part 2.webm - 24.4 MB
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05. Cleaning A CSV Part 3.webm - 23.96 MB
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06. Cleaning A CSV Part 4.webm - 23.67 MB
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03. Cleaning A CSV.webm - 22.81 MB
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02. Cleaning A Spreadsheet Part 2.webm - 21.28 MB
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Project Files
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preparing-data-for-analysis-student.zip - 38 KB
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01. Understanding Cleaning Data
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03. Bad Data Types.webm - 17.52 MB
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02. Context.webm - 17.35 MB
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01. What Is Cleaning Data.webm - 16.69 MB
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Preparing Data for Analysis.md - 2.31 KB
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18. Data from APIs
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01. Accessing an API with Python.webm - 32.28 MB
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03. Calling the API.webm - 25.47 MB
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04. Saving the Data.webm - 22.3 MB
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02. Gathering Weather Data.webm - 8.34 MB
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Data from APIs.md - 1.02 KB
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03. Introducing Lists
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01. Meet Lists
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04. Indexing.webm - 31.57 MB
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01. Welcome.webm - 16.24 MB
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05. Deletion.webm - 14.6 MB
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03. Addition.webm - 13.26 MB
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02. Creation.webm - 10.18 MB
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03. Build an Application
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01. The Application.webm - 18.62 MB
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03. Display the List.webm - 13.87 MB
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02. Add Items.webm - 10.15 MB
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04. Wrap Up.webm - 6.09 MB
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02. Using Lists
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02. Mutability.webm - 14.51 MB
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04. Multidimensional Lists.webm - 14.17 MB
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03. Split and Join.webm - 13.41 MB
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01. Iteration.webm - 11.04 MB
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Introducing Lists.md - 3.54 KB
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08. Object-Oriented Python
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01. Instant Objects
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05. Design.webm - 31.53 MB
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01. What Are Objects And Classes.webm - 29.96 MB
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03. Methods.webm - 14.04 MB
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04. Method Arguments.webm - 13.49 MB
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02. Lets Make a Class!.webm - 7.62 MB
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Project Files
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Object-Oriented+Python+2.zip - 130.13 KB
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02. Inheritance
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03. Multiple Superclasses.webm - 31.27 MB
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04. Family Tree.webm - 20.08 MB
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01. Complex Relationships.webm - 18.73 MB
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02. Super-Duper!.webm - 16.84 MB
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Project Files
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Object-Oriented+Python+2.zip - 130.13 KB
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03. Advanced Objects
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04. Subclassing Built-ins.webm - 28.47 MB
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03. Emulating Built-ins.webm - 24.24 MB
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06. Special Methods.webm - 19.91 MB
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01. Controlling Conversion.webm - 19.7 MB
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05. Constructicons.webm - 19.3 MB
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02. Math.webm - 13.95 MB
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Project Files
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Object-Oriented+Python+2.zip - 130.13 KB
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04. Dice Roller
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03. Giving a Hand.webm - 19.73 MB
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02. Comparing and Combining Dice.webm - 17.75 MB
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01. Project Breakdown.webm - 17.06 MB
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05. Where to Now.webm - 15.72 MB
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04. Yatzy Scoring.webm - 14.14 MB
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Project Files
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Object-Oriented+Python+2.zip - 130.13 KB
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Object-Oriented Python.md - 7.13 KB
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20. Machine Learning Basics
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01. Introduction to Machine Learning
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02. Supervised and Unsupervised Learning.webm - 29.39 MB
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01. What is Machine Learning.webm - 22.4 MB
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03. Machine Learning Frameworks.webm - 18.93 MB
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03. Writing a Classifier
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01. Installing scikit-learn using Anaconda.webm - 18.02 MB
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02. Loading a Dataset.webm - 14.41 MB
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03. Making Predictions with a Classifier.webm - 11.34 MB
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04. Machine Learning Review.webm - 7.79 MB
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Project Files
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ML-machine-learning-basics.zip - 614 B
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02. Machine Learning Vocabulary
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01. Examples and Features.webm - 12.81 MB
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02. Labels and Classifiers.webm - 10.9 MB
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Machine Learning Basics.md - 3.36 KB
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11. Jupyter Notebooks
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03. Graphs and Charts.webm - 25.31 MB
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04. Other Languages.webm - 20.2 MB
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01. Installation and Creating Your First Notebook.webm - 17.66 MB
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02. Running Code in Cells.webm - 12.4 MB
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Jupyter Notebooks.md - 1.24 KB
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10. Introduction to Anaconda
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01. What is Anaconda and why use it.webm - 21.77 MB
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04. miniconda.webm - 20.41 MB
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02. Installing Anaconda.webm - 17.66 MB
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03. Using conda to Install Packages.webm - 9.35 MB
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Introduction to Anaconda.md - 1.13 KB
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15. Introduction to Data Visualization with Matplotlib
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03. Data Eruption
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02. Decision Process.webm - 20.41 MB
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01. Problem Discussion.webm - 13.14 MB
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03. Problem Summary and Presentation.webm - 8.88 MB
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Project Files
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intro_matplotlib.zip - 265.59 KB
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02. Chart Toppers
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01. Our Data Set - Flower Power.webm - 19.09 MB
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03. Histogram.webm - 18.01 MB
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02. Scatter Plot.webm - 17.23 MB
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04. Box Plot.webm - 14.64 MB
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05. Saving Your Work.webm - 12.02 MB
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Project Files
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intro_matplotlib.zip - 265.59 KB
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01. Getting Started with Data Visualization
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04. Chart Types & Reasons to Use.webm - 18.92 MB
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01. Welcome to Matplotlib.webm - 13.19 MB
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03. The Legend of Charting.webm - 10.76 MB
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02. Getting Started with Charting.webm - 10.19 MB
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Project Files
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intro_matplotlib.zip - 265.59 KB
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Introduction to Data Visualization with Matplotlib.md - 4.51 KB
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04. Introducing Dictionaries
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01. Introducing Dictionaries
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01. What is a dictionary.webm - 15.55 MB
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02. Dictionary Syntax and KeyValue Pairs.webm - 12.19 MB
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04. Update and Mutate Dictionaries.webm - 6.29 MB
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03. Accessing Keys and Values.webm - 6.29 MB
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02. Iterating and Packing with Dictionaries
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01. Iterate over Dictionaries.webm - 6.28 MB
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02. Packing with Dictionaries.webm - 6.16 MB
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03. Unpacking with Dictionaries.md - 1.16 KB
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Introducing Dictionaries.md - 2.89 KB
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06. Functions, Packing, and Unpacking
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03. Packing and Unpacking
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01. Packing.webm - 13.49 MB
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02. Packing, a Practical Example.webm - 5.36 MB
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04. Unpacking, a Practical Example.webm - 5 MB
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03. Unpacking.webm - 4.5 MB
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01. Introduction to Functions
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01. Recap of Functions.webm - 11.44 MB
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04. Lets Talk About Scope.webm - 10.96 MB
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02. Defining a Function.webm - 3.93 MB
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03. Calling a Function.webm - 3.11 MB
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02. Getting Info In and Out of Functions
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03. All About Returns.webm - 8.22 MB
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04. Arguments and Parameters.webm - 6.65 MB
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06. Multiple Arguments and Parameters.webm - 5.99 MB
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01. Moving Forward.webm - 4.88 MB
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05. Function Gotchas.md - 1.56 KB
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02. Functions Recap and Cheat Sheet.md - 1.38 KB
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Functions, Packing, and Unpacking.md - 4.17 KB
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05. Python Sequences
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01. Sequence Iteration
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01. Lets Chat About Sequences.webm - 11.6 MB
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02. Iterating with Basic For Loops.webm - 8.72 MB
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03. Iterating with Enumerate.webm - 7.08 MB
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04. Iterating with Ranges.webm - 6.38 MB
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02. Sequence Operations
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01. Sequence Operations.webm - 7.81 MB
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02. Slices.webm - 6.99 MB
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05. Count and Index.webm - 6.86 MB
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07. Concatenation and Multiplication.webm - 4.42 MB
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03. Len, Min, and Max.webm - 4.42 MB
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04. Membership Testing.webm - 4.12 MB
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08. Sequence Operations Cheat Sheet.md - 2.7 KB
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06. Code Samples Membership Testing, Count, and Index.md - 1.19 KB
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Python Sequences.md - 3.48 KB
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07. Introducing Tuples
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Getting to Know Tuples
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02. Recap.webm - 8.99 MB
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01. Introducing Tuples.webm - 7.81 MB
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04. Tuple Syntax.md - 2.58 KB
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03. Tuples vs. Lists.md - 2.06 KB
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Introducing Tuples.md - 1.83 KB
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Beginning Data Science.md - 6.65 KB
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Common Issues with Data Scraping
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Common Issues with Data Scraping.md - 1.67 KB
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16. More Visualization
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More Visualization.md - 1.01 KB
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09. Learning SQL
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Learning SQL.md - 495 B
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.pad
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[TGx]Downloaded from torrentgalaxy.to .txt - 585 B
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TutsNode.com.txt - 63 B
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| Trackers | Seeders | Leechers | Downloads |
|---|---|---|---|
| udp://www.torrent.eu.org:451/announce | 4 | 25 | 26 |
| udp://tracker.0x.tf:6969/announce | 0 | 0 | 0 |
| udp://9.rarbg.com:2920/announce | 3 | 21 | 22 |
| udp://tracker.opentrackr.org:1337/announce | 4 | 27 | 27 |
| udp://tracker2.dler.com:80/announce | 0 | 0 | 0 |
| udp://fe.dealclub.de:6969/announce | 0 | 0 | 0 |
| udp://tracker.moeking.me:6969/announce | 3 | 20 | 26 |
| udp://app.icon256.com:8000/announce | 0 | 0 | 0 |
| udp://tracker.monitorit4.me:6969/announce | 0 | 0 | 0 |
| udp://open.stealth.si:80/announce | 2 | 21 | 30 |
| udp://pow7.com:80/announce | 0 | 11 | 0 |
| udp://p4p.arenabg.com:1337/announce | 0 | 0 | 0 |
| udp://tracker.leech.ie:1337/announce | 0 | 0 | 0 |
| udp://mts.tvbit.co:6969/announce | 0 | 0 | 0 |
| udp://vibe.sleepyinternetfun.xyz:1738/announce | 0 | 0 | 0 |
| udp://opentracker.i2p.rocks:6969/announce | 3 | 17 | 29 |
| udp://movies.zsw.ca:6969/announce | 0 | 0 | 0 |
| udp://bubu.mapfactor.com:6969/announce | 0 | 0 | 0 |
| udp://tracker.blacksparrowmedia.net:6969/announce | 0 | 0 | 0 |
| udp://exodus.desync.com:6969/announce | 1 | 5 | 0 |
| udp://tracker.theoks.net:6969/announce | 0 | 0 | 0 |
| udp://explodie.org:6969/announce | 3 | 15 | 0 |
| udp://tracker.army:6969/announce | 0 | 0 | 0 |
| udp://bt2.archive.org:6969/announce | 0 | 0 | 0 |
| udp://bt1.archive.org:6969/announce | 0 | 0 | 0 |
| udp://tracker1.bt.moack.co.kr:80/announce | 0 | 0 | 0 |
InfoHash:
41480EA91CCC5BC0E213701EAFB02B99F201412E
Last updated:
Sep 6, 2022
File count:
452 B
File Category:
9
Tags:
Other, Tutorials