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Detalhes do Torrent Para "TeamTreehouse - Beginning Data Science (Track) [Thomas]"

TeamTreehouse - Beginning Data Science (Track) [Thomas]

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Concluído: 79
Última verificado: 01-12-2022 15:27:15

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Nome:	TeamTreehouse - Beginning Data Science (Track) [Thomas]
Description: TeamTreehouse - Beginning Data Science (Track) [Thomas] Course included ├── 01. Data Analysis Basics ├── 02. Python Basics ├── 03. Introducing Lists ├── 04. Introducing Dictionaries ├── 05. Python Sequences ├── 06. Functions, Packing, and Unpacking ├── 07. Introducing Tuples ├── 08. Object-Oriented Python ├── 09. Learning SQL ├── 10. Introduction to Anaconda ├── 11. Jupyter Notebooks ├── 12. Introduction to NumPy ├── 13. Introduction to pandas ├── 14. Preparing Data for Analysis ├── 15. Introduction to Data Visualization with Matplotlib ├── 16. More Visualization ├── 17. Scraping Data From the Web ├── 18. Data from APIs ├── 19. Introduction to Big Data ├── 20. Machine Learning Basics ├── Beginning Data Science.md ├── Common Issues with Data Scraping ├── README.txt ├── TeamTreehouse - Beginning Data Science (Track) [Thomas].jpg └── TeamTreehouse - Beginning Data Science (Track) [Thomas].png Please Seed ~
Video YouTube:
Categoria:	Tutorials
Idioma:	English
Total Size:	3.51 GB
Informações Hash:	92330EE65359C4E5C2D49C0F2A8690839026E516
Adicionado por:	Thomaskhan
Data adicionada:	2022-07-30 12:06:10
Torrent Status:	Torrent Verified

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Lista de arquivos:

Arquivo	Tamanho
01. Data Analysis Basics/01. Introducing Data Analysis/01. Making Better Decisions with Data Analysis.webm	22.24 MB
01. Data Analysis Basics/01. Introducing Data Analysis/02. Data is Everywhere.webm	25.82 MB
01. Data Analysis Basics/01. Introducing Data Analysis/03. Creating a Spreadsheet.webm	17.91 MB
01. Data Analysis Basics/01. Introducing Data Analysis/04. Getting Good Data is Hard.webm	37.57 MB
01. Data Analysis Basics/01. Introducing Data Analysis/Project Files/marathon_results_2017.csv	4.00 MB
01. Data Analysis Basics/02. Getting to Know Your Data/01. Summarizing Data Maximum, Minimum, Range.webm	17.91 MB
01. Data Analysis Basics/02. Getting to Know Your Data/02. Summarizing Data Mean, Median, Mode.webm	9.26 MB
01. Data Analysis Basics/02. Getting to Know Your Data/03. Analyzing Data Spread.webm	9.54 MB
01. Data Analysis Basics/02. Getting to Know Your Data/04. Is Our Data Normal.webm	10.71 MB
01. Data Analysis Basics/02. Getting to Know Your Data/05. Visualizing Data.webm	15.99 MB
01. Data Analysis Basics/02. Getting to Know Your Data/06. Charting Our Data Part 1.webm	9.12 MB
01. Data Analysis Basics/02. Getting to Know Your Data/07. Charting Our Data Part 2.webm	12.63 MB
01. Data Analysis Basics/03. The Data Analysis Process/01. Understanding Metrics.webm	28.73 MB
01. Data Analysis Basics/03. The Data Analysis Process/02. Defining Terms.webm	20.44 MB
01. Data Analysis Basics/03. The Data Analysis Process/03. Analyzing the Data.webm	14.43 MB
01. Data Analysis Basics/03. The Data Analysis Process/04. Presenting Your Findings.webm	30.37 MB
01. Data Analysis Basics/Data Analysis Basics.md	3.91 kB
02. Python Basics/01. Meet Python/01. Welcome.webm	35.87 MB
02. Python Basics/01. Meet Python/02. Running Scripts.webm	14.24 MB
02. Python Basics/01. Meet Python/03. The Python Shell.webm	20.53 MB
02. Python Basics/01. Meet Python/04. Syntax and Errors.webm	23.06 MB
02. Python Basics/01. Meet Python/05. Variables.webm	20.28 MB
02. Python Basics/01. Meet Python/06. Code Challenges.md	908.00 B
02. Python Basics/01. Meet Python/07. Input and Coding Style.webm	25.83 MB
02. Python Basics/02. Types and Branching/01. Numeric.webm	27.06 MB
02. Python Basics/02. Types and Branching/02. Strings and Operators.webm	14.02 MB
02. Python Basics/02. Types and Branching/03. String Methods.webm	13.39 MB
02. Python Basics/02. Types and Branching/04. Booleans.webm	17.58 MB
02. Python Basics/02. Types and Branching/05. If, Else and Elif.webm	22.88 MB
02. Python Basics/02. Types and Branching/06. Comparisons.webm	25.42 MB
02. Python Basics/03. Functions and Looping/01. Functions.webm	30.28 MB
02. Python Basics/03. Functions and Looping/02. Returning Values.webm	24.82 MB
02. Python Basics/03. Functions and Looping/03. Expecting Exceptions.webm	18.57 MB
02. Python Basics/03. Functions and Looping/04. Raising Exceptions.webm	15.95 MB
02. Python Basics/03. Functions and Looping/05. While Loops.webm	24.61 MB
02. Python Basics/03. Functions and Looping/06. For Loops.webm	11.23 MB
02. Python Basics/04. All Together Now/01. The Project.webm	17.47 MB
02. Python Basics/04. All Together Now/02. Gather Information.webm	12.63 MB
02. Python Basics/04. All Together Now/03. Branch and Loop.webm	19.29 MB
02. Python Basics/04. All Together Now/04. Handle Exceptions.webm	19.96 MB
02. Python Basics/04. All Together Now/05. Cleaner Code Through Refactoring.webm	21.10 MB
02. Python Basics/04. All Together Now/06. Wrapping Up.webm	18.82 MB
02. Python Basics/Python Basics.md	5.63 kB
03. Introducing Lists/01. Meet Lists/01. Welcome.webm	16.24 MB
03. Introducing Lists/01. Meet Lists/02. Creation.webm	10.18 MB
03. Introducing Lists/01. Meet Lists/03. Addition.webm	13.26 MB
03. Introducing Lists/01. Meet Lists/04. Indexing.webm	31.57 MB
03. Introducing Lists/01. Meet Lists/05. Deletion.webm	14.60 MB
03. Introducing Lists/02. Using Lists/01. Iteration.webm	11.04 MB
03. Introducing Lists/02. Using Lists/02. Mutability.webm	14.51 MB
03. Introducing Lists/02. Using Lists/03. Split and Join.webm	13.41 MB
03. Introducing Lists/02. Using Lists/04. Multidimensional Lists.webm	14.17 MB
03. Introducing Lists/03. Build an Application/01. The Application.webm	18.62 MB
03. Introducing Lists/03. Build an Application/02. Add Items.webm	10.15 MB
03. Introducing Lists/03. Build an Application/03. Display the List.webm	13.87 MB
03. Introducing Lists/03. Build an Application/04. Wrap Up.webm	6.09 MB
03. Introducing Lists/Introducing Lists.md	3.54 kB
04. Introducing Dictionaries/01. Introducing Dictionaries/01. What is a dictionary.webm	15.55 MB
04. Introducing Dictionaries/01. Introducing Dictionaries/02. Dictionary Syntax and KeyValue Pairs.webm	12.19 MB
04. Introducing Dictionaries/01. Introducing Dictionaries/03. Accessing Keys and Values.webm	6.29 MB
04. Introducing Dictionaries/01. Introducing Dictionaries/04. Update and Mutate Dictionaries.webm	6.29 MB
04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/01. Iterate over Dictionaries.webm	6.28 MB
04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/02. Packing with Dictionaries.webm	6.16 MB
04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/03. Unpacking with Dictionaries.md	1.16 kB
04. Introducing Dictionaries/Introducing Dictionaries.md	2.89 kB
05. Python Sequences/01. Sequence Iteration/01. Lets Chat About Sequences.webm	11.60 MB
05. Python Sequences/01. Sequence Iteration/02. Iterating with Basic For Loops.webm	8.72 MB
05. Python Sequences/01. Sequence Iteration/03. Iterating with Enumerate.webm	7.08 MB
05. Python Sequences/01. Sequence Iteration/04. Iterating with Ranges.webm	6.38 MB
05. Python Sequences/02. Sequence Operations/01. Sequence Operations.webm	7.81 MB
05. Python Sequences/02. Sequence Operations/02. Slices.webm	6.99 MB
05. Python Sequences/02. Sequence Operations/03. Len, Min, and Max.webm	4.42 MB
05. Python Sequences/02. Sequence Operations/04. Membership Testing.webm	4.12 MB
05. Python Sequences/02. Sequence Operations/05. Count and Index.webm	6.86 MB
05. Python Sequences/02. Sequence Operations/06. Code Samples Membership Testing, Count, and Index.md	1.19 kB
05. Python Sequences/02. Sequence Operations/07. Concatenation and Multiplication.webm	4.42 MB
05. Python Sequences/02. Sequence Operations/08. Sequence Operations Cheat Sheet.md	2.70 kB
05. Python Sequences/Python Sequences.md	3.48 kB
06. Functions, Packing, and Unpacking/01. Introduction to Functions/01. Recap of Functions.webm	11.44 MB
06. Functions, Packing, and Unpacking/01. Introduction to Functions/02. Defining a Function.webm	3.93 MB
06. Functions, Packing, and Unpacking/01. Introduction to Functions/03. Calling a Function.webm	3.11 MB
06. Functions, Packing, and Unpacking/01. Introduction to Functions/04. Lets Talk About Scope.webm	10.96 MB
06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/01. Moving Forward.webm	4.88 MB
06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/02. Functions Recap and Cheat Sheet.md	1.38 kB
06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/03. All About Returns.webm	8.22 MB
06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/04. Arguments and Parameters.webm	6.65 MB
06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/05. Function Gotchas.md	1.56 kB
06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/06. Multiple Arguments and Parameters.webm	5.99 MB
06. Functions, Packing, and Unpacking/03. Packing and Unpacking/01. Packing.webm	13.49 MB
06. Functions, Packing, and Unpacking/03. Packing and Unpacking/02. Packing, a Practical Example.webm	5.36 MB
06. Functions, Packing, and Unpacking/03. Packing and Unpacking/03. Unpacking.webm	4.50 MB
06. Functions, Packing, and Unpacking/03. Packing and Unpacking/04. Unpacking, a Practical Example.webm	5.00 MB
06. Functions, Packing, and Unpacking/Functions, Packing, and Unpacking.md	4.17 kB
07. Introducing Tuples/Getting to Know Tuples/01. Introducing Tuples.webm	7.81 MB
07. Introducing Tuples/Getting to Know Tuples/02. Recap.webm	8.99 MB
07. Introducing Tuples/Getting to Know Tuples/03. Tuples vs. Lists.md	2.06 kB
07. Introducing Tuples/Getting to Know Tuples/04. Tuple Syntax.md	2.58 kB
07. Introducing Tuples/Introducing Tuples.md	1.83 kB
08. Object-Oriented Python/01. Instant Objects/01. What Are Objects And Classes.webm	29.96 MB
08. Object-Oriented Python/01. Instant Objects/02. Lets Make a Class!.webm	7.62 MB
08. Object-Oriented Python/01. Instant Objects/03. Methods.webm	14.04 MB
08. Object-Oriented Python/01. Instant Objects/04. Method Arguments.webm	13.49 MB
08. Object-Oriented Python/01. Instant Objects/05. Design.webm	31.53 MB
08. Object-Oriented Python/01. Instant Objects/Project Files/Object-Oriented+Python+2.zip	130.13 kB
08. Object-Oriented Python/02. Inheritance/01. Complex Relationships.webm	18.73 MB
08. Object-Oriented Python/02. Inheritance/02. Super-Duper!.webm	16.84 MB
08. Object-Oriented Python/02. Inheritance/03. Multiple Superclasses.webm	31.27 MB
08. Object-Oriented Python/02. Inheritance/04. Family Tree.webm	20.08 MB
08. Object-Oriented Python/02. Inheritance/Project Files/Object-Oriented+Python+2.zip	130.13 kB
08. Object-Oriented Python/03. Advanced Objects/01. Controlling Conversion.webm	19.70 MB
08. Object-Oriented Python/03. Advanced Objects/02. Math.webm	13.95 MB
08. Object-Oriented Python/03. Advanced Objects/03. Emulating Built-ins.webm	24.24 MB
08. Object-Oriented Python/03. Advanced Objects/04. Subclassing Built-ins.webm	28.47 MB
08. Object-Oriented Python/03. Advanced Objects/05. Constructicons.webm	19.30 MB
08. Object-Oriented Python/03. Advanced Objects/06. Special Methods.webm	19.91 MB
08. Object-Oriented Python/03. Advanced Objects/Project Files/Object-Oriented+Python+2.zip	130.13 kB
08. Object-Oriented Python/04. Dice Roller/01. Project Breakdown.webm	17.06 MB
08. Object-Oriented Python/04. Dice Roller/02. Comparing and Combining Dice.webm	17.75 MB
08. Object-Oriented Python/04. Dice Roller/03. Giving a Hand.webm	19.73 MB
08. Object-Oriented Python/04. Dice Roller/04. Yatzy Scoring.webm	14.14 MB
08. Object-Oriented Python/04. Dice Roller/05. Where to Now.webm	15.72 MB
08. Object-Oriented Python/04. Dice Roller/Project Files/Object-Oriented+Python+2.zip	130.13 kB
08. Object-Oriented Python/Object-Oriented Python.md	7.13 kB
09. Learning SQL/Learning SQL.md	495.00 B
10. Introduction to Anaconda/01. What is Anaconda and why use it.webm	21.77 MB
10. Introduction to Anaconda/02. Installing Anaconda.webm	17.66 MB
10. Introduction to Anaconda/03. Using conda to Install Packages.webm	9.35 MB
10. Introduction to Anaconda/04. miniconda.webm	20.41 MB
10. Introduction to Anaconda/Introduction to Anaconda.md	1.13 kB
11. Jupyter Notebooks/01. Installation and Creating Your First Notebook.webm	17.66 MB
11. Jupyter Notebooks/02. Running Code in Cells.webm	12.40 MB
11. Jupyter Notebooks/03. Graphs and Charts.webm	25.31 MB
11. Jupyter Notebooks/04. Other Languages.webm	20.20 MB
11. Jupyter Notebooks/Jupyter Notebooks.md	1.24 kB
12. Introduction to NumPy/01. Meet NumPy/01. Welcome.webm	46.30 MB
12. Introduction to NumPy/01. Meet NumPy/02. Getting Setup.webm	17.49 MB
12. Introduction to NumPy/01. Meet NumPy/03. Introducing Arrays.webm	38.46 MB
12. Introduction to NumPy/01. Meet NumPy/04. Creating the Study Log.webm	29.11 MB
12. Introduction to NumPy/01. Meet NumPy/05. Multidimensional Arrays.webm	35.33 MB
12. Introduction to NumPy/01. Meet NumPy/Project Files/python-intro-to-numpy.zip	57.71 kB
12. Introduction to NumPy/02. Array Organization/01. Indexing.webm	48.99 MB
12. Introduction to NumPy/02. Array Organization/02. Boolean Array Indexing.webm	45.36 MB
12. Introduction to NumPy/02. Array Organization/03. Slicing.webm	28.20 MB
12. Introduction to NumPy/02. Array Organization/04. Manipulation.webm	43.46 MB
12. Introduction to NumPy/02. Array Organization/Project Files/python-intro-to-numpy.zip	57.71 kB
12. Introduction to NumPy/03. Array Programming/01. New Way of Thinking.webm	55.23 MB
12. Introduction to NumPy/03. Array Programming/02. Universal Functions.webm	42.94 MB
12. Introduction to NumPy/03. Array Programming/03. Routines in Action.webm	38.46 MB
12. Introduction to NumPy/03. Array Programming/04. Plotting.webm	38.74 MB
12. Introduction to NumPy/03. Array Programming/05. No Problem.webm	17.91 MB
12. Introduction to NumPy/03. Array Programming/Project Files/python-intro-to-numpy.zip	57.71 kB
12. Introduction to NumPy/Introduction to NumPy.md	4.41 kB
13. Introduction to pandas/0. Meet pandas/0.Welcome.webm	39.76 MB
13. Introduction to pandas/0. Meet pandas/1.Meet Series.webm	11.99 MB
13. Introduction to pandas/0. Meet pandas/2.Vectorization and Broadcasting Review.webm	13.69 MB
13. Introduction to pandas/0. Meet pandas/3.Meet DataFrames.webm	11.60 MB
13. Introduction to pandas/0. Meet pandas/4.Onwards.webm	4.77 MB
13. Introduction to pandas/0. Meet pandas/Instruction/About This Course.png	300.66 kB
13. Introduction to pandas/0. Meet pandas/Instruction/Accessing a DataFrame.png	718.01 kB
13. Introduction to pandas/0. Meet pandas/Instruction/Accessing a Series.png	680.00 kB
13. Introduction to pandas/0. Meet pandas/Instruction/Creating a DataFrame.png	465.05 kB
13. Introduction to pandas/0. Meet pandas/Instruction/Creating a Series.png	511.47 kB
13. Introduction to pandas/0. Meet pandas/Instruction/Series Vectorization and Broadcasting.png	553.42 kB
13. Introduction to pandas/0. Meet pandas/Project Files/python-introducing-pandas-1.2.0.zip	88.32 kB
13. Introduction to pandas/1. Exploring pandas/0.Importing Data.webm	9.01 MB
13. Introduction to pandas/1. Exploring pandas/1.Manipulation.webm	5.47 MB
13. Introduction to pandas/1. Exploring pandas/2.Combining DataFrames.webm	8.95 MB
13. Introduction to pandas/1. Exploring pandas/3.Until Next Time.webm	13.71 MB
13. Introduction to pandas/1. Exploring pandas/Instruction/Combining DataFrames.png	1.21 MB
13. Introduction to pandas/1. Exploring pandas/Instruction/Exploration Methods.png	1.22 MB
13. Introduction to pandas/1. Exploring pandas/Instruction/Grouping.png	945.93 kB
13. Introduction to pandas/1. Exploring pandas/Instruction/Handling Duplicated and Missing Data.png	862.95 kB
13. Introduction to pandas/1. Exploring pandas/Instruction/Manipulating Text.png	725.39 kB
13. Introduction to pandas/1. Exploring pandas/Instruction/Manipulation Techniques.png	1.24 MB
13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #1 - Top Referrers.png	393.99 kB
13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #2 - Update Users.png	399.39 kB
13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #3 - Verified Email List.png	419.33 kB
13. Introduction to pandas/1. Exploring pandas/Instruction/Selecting Data.png	751.58 kB
14. Preparing Data for Analysis/01. Understanding Cleaning Data/01. What Is Cleaning Data.webm	16.69 MB
14. Preparing Data for Analysis/01. Understanding Cleaning Data/02. Context.webm	17.35 MB
14. Preparing Data for Analysis/01. Understanding Cleaning Data/03. Bad Data Types.webm	17.52 MB
14. Preparing Data for Analysis/02. Data Cleaning/01. Cleaning A Spreadsheet.webm	35.38 MB
14. Preparing Data for Analysis/02. Data Cleaning/02. Cleaning A Spreadsheet Part 2.webm	21.28 MB
14. Preparing Data for Analysis/02. Data Cleaning/03. Cleaning A CSV.webm	22.81 MB
14. Preparing Data for Analysis/02. Data Cleaning/04. Cleaning A CSV Part 2.webm	24.40 MB
14. Preparing Data for Analysis/02. Data Cleaning/05. Cleaning A CSV Part 3.webm	23.96 MB
14. Preparing Data for Analysis/02. Data Cleaning/06. Cleaning A CSV Part 4.webm	23.67 MB
14. Preparing Data for Analysis/02. Data Cleaning/Project Files/preparing-data-for-analysis-student.zip	38.00 kB
14. Preparing Data for Analysis/Preparing Data for Analysis.md	2.31 kB
15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/01. Welcome to Matplotlib.webm	13.19 MB
15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/02. Getting Started with Charting.webm	10.19 MB
15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/03. The Legend of Charting.webm	10.76 MB
15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/04. Chart Types & Reasons to Use.webm	18.92 MB
15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/Project Files/intro_matplotlib.zip	265.59 kB
15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/01. Our Data Set - Flower Power.webm	19.09 MB
15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/02. Scatter Plot.webm	17.23 MB
15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/03. Histogram.webm	18.01 MB
15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/04. Box Plot.webm	14.64 MB
15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/05. Saving Your Work.webm	12.02 MB
15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/Project Files/intro_matplotlib.zip	265.59 kB
15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/01. Problem Discussion.webm	13.14 MB
15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/02. Decision Process.webm	20.41 MB
15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/03. Problem Summary and Presentation.webm	8.88 MB
15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/Project Files/intro_matplotlib.zip	265.59 kB
15. Introduction to Data Visualization with Matplotlib/Introduction to Data Visualization with Matplotlib.md	4.51 kB
16. More Visualization/More Visualization.md	1.01 kB
17. Scraping Data From the Web/01. Introducing Data Scraping/01. What is Data Scraping.webm	31.01 MB
17. Scraping Data From the Web/01. Introducing Data Scraping/02. Web Page Anatomy.webm	18.79 MB
17. Scraping Data From the Web/01. Introducing Data Scraping/03. Beautiful Soup.webm	27.18 MB
17. Scraping Data From the Web/01. Introducing Data Scraping/04. More Soup in the Tureen.webm	23.56 MB
17. Scraping Data From the Web/01. Introducing Data Scraping/05. Being a Good Citizen.webm	31.17 MB
17. Scraping Data From the Web/01. Introducing Data Scraping/Project Files/scraping_data_from_the_web.zip	37.26 kB
17. Scraping Data From the Web/02. A World Full of Spiders/01. Everyone Loves Charlotte.webm	27.89 MB
17. Scraping Data From the Web/02. A World Full of Spiders/02. Installing Scrapy.webm	11.90 MB
17. Scraping Data From the Web/02. A World Full of Spiders/03. Crawling Spiders.webm	19.59 MB
17. Scraping Data From the Web/02. A World Full of Spiders/04. The Endless Web.webm	38.37 MB
17. Scraping Data From the Web/02. A World Full of Spiders/Project Files/scraping_data_from_the_web.zip	37.26 kB
17. Scraping Data From the Web/03. Additional Scraping Tasks/01. An Intelligent Spider.webm	19.85 MB
17. Scraping Data From the Web/03. Additional Scraping Tasks/02. Scraping APIs.webm	22.92 MB
17. Scraping Data From the Web/03. Additional Scraping Tasks/03. Using Scrapers for Site Testing.webm	22.21 MB
17. Scraping Data From the Web/03. Additional Scraping Tasks/04. Common Issues with Data Scraping.md	1.67 kB
17. Scraping Data From the Web/03. Additional Scraping Tasks/05. Wrapping Up.webm	7.32 MB
17. Scraping Data From the Web/03. Additional Scraping Tasks/Project Files/scraping_data_from_the_web.zip	37.26 kB
17. Scraping Data From the Web/Scraping Data From the Web.md	4.08 kB
18. Data from APIs/01. Accessing an API with Python.webm	32.28 MB
18. Data from APIs/02. Gathering Weather Data.webm	8.34 MB
18. Data from APIs/03. Calling the API.webm	25.47 MB
18. Data from APIs/04. Saving the Data.webm	22.30 MB
18. Data from APIs/Data from APIs.md	1.02 kB
19. Introduction to Big Data/01. What is Big Data/01. Welcome.webm	19.16 MB
19. Introduction to Big Data/01. What is Big Data/02. Characteristics of Big Data.webm	10.04 MB
19. Introduction to Big Data/01. What is Big Data/03. The Importance of Big Data.webm	22.77 MB
19. Introduction to Big Data/01. What is Big Data/04. Exploring Our New Problems.webm	41.33 MB
19. Introduction to Big Data/02. Where and How is Big Data Used/01. Where is it Being Used.webm	14.11 MB
19. Introduction to Big Data/02. Where and How is Big Data Used/02. Types of Data.webm	22.40 MB
19. Introduction to Big Data/02. Where and How is Big Data Used/03. Domain Data Storage.webm	34.58 MB
19. Introduction to Big Data/02. Where and How is Big Data Used/04. Domain Computations.webm	29.31 MB
19. Introduction to Big Data/02. Where and How is Big Data Used/05. Domain Infrastructure.webm	17.49 MB
19. Introduction to Big Data/03. Big Data at Netflix/01. What Problems Does Netflix Have.webm	29.49 MB
19. Introduction to Big Data/03. Big Data at Netflix/02. How Does Netflix Apply Big Data Tools to Solve these Problems.webm	17.38 MB
19. Introduction to Big Data/03. Big Data at Netflix/03. Wrapping Up.webm	27.63 MB
19. Introduction to Big Data/Introduction to Big Data.md	4.20 kB
20. Machine Learning Basics/01. Introduction to Machine Learning/01. What is Machine Learning.webm	22.40 MB
20. Machine Learning Basics/01. Introduction to Machine Learning/02. Supervised and Unsupervised Learning.webm	29.39 MB
20. Machine Learning Basics/01. Introduction to Machine Learning/03. Machine Learning Frameworks.webm	18.93 MB
20. Machine Learning Basics/02. Machine Learning Vocabulary/01. Examples and Features.webm	12.81 MB
20. Machine Learning Basics/02. Machine Learning Vocabulary/02. Labels and Classifiers.webm	10.90 MB
20. Machine Learning Basics/03. Writing a Classifier/01. Installing scikit-learn using Anaconda.webm	18.02 MB
20. Machine Learning Basics/03. Writing a Classifier/02. Loading a Dataset.webm	14.41 MB
20. Machine Learning Basics/03. Writing a Classifier/03. Making Predictions with a Classifier.webm	11.34 MB
20. Machine Learning Basics/03. Writing a Classifier/04. Machine Learning Review.webm	7.79 MB
20. Machine Learning Basics/03. Writing a Classifier/Project Files/ML-machine-learning-basics.zip	614.00 B
20. Machine Learning Basics/Machine Learning Basics.md	3.36 kB
Beginning Data Science.md	6.65 kB
Common Issues with Data Scraping/Common Issues with Data Scraping.md	1.67 kB
README.txt	2.25 kB
TeamTreehouse - Beginning Data Science (Track) [Thomas].jpg	157.26 kB
TeamTreehouse - Beginning Data Science (Track) [Thomas].png	1.02 MB

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TeamTreehouse - Beginning Data Science (Track) [Thomas]