TeamTreehouse - Beginning Data Science (Track)

File Name

Size

Beginning Data Science.md

6.6 kB

01. Data Analysis Basics/Data Analysis Basics.md

3.9 kB

01. Data Analysis Basics/01. Introducing Data Analysis/01. Making Better Decisions with Data Analysis.webm

22 MB

01. Data Analysis Basics/01. Introducing Data Analysis/02. Data is Everywhere.webm

26 MB

01. Data Analysis Basics/01. Introducing Data Analysis/03. Creating a Spreadsheet.webm

18 MB

01. Data Analysis Basics/01. Introducing Data Analysis/04. Getting Good Data is Hard.webm

38 MB

01. Data Analysis Basics/01. Introducing Data Analysis/Project Files/marathon_results_2017.csv

4.0 MB

01. Data Analysis Basics/02. Getting to Know Your Data/01. Summarizing Data Maximum, Minimum, Range.webm

18 MB

01. Data Analysis Basics/02. Getting to Know Your Data/02. Summarizing Data Mean, Median, Mode.webm

9.3 MB

01. Data Analysis Basics/02. Getting to Know Your Data/03. Analyzing Data Spread.webm

9.5 MB

01. Data Analysis Basics/02. Getting to Know Your Data/04. Is Our Data Normal.webm

11 MB

01. Data Analysis Basics/02. Getting to Know Your Data/05. Visualizing Data.webm

16 MB

01. Data Analysis Basics/02. Getting to Know Your Data/06. Charting Our Data Part 1.webm

9.1 MB

01. Data Analysis Basics/02. Getting to Know Your Data/07. Charting Our Data Part 2.webm

13 MB

01. Data Analysis Basics/03. The Data Analysis Process/01. Understanding Metrics.webm

29 MB

01. Data Analysis Basics/03. The Data Analysis Process/02. Defining Terms.webm

20 MB

01. Data Analysis Basics/03. The Data Analysis Process/03. Analyzing the Data.webm

14 MB

01. Data Analysis Basics/03. The Data Analysis Process/04. Presenting Your Findings.webm

30 MB

02. Python Basics/Python Basics.md

5.6 kB

02. Python Basics/01. Meet Python/01. Welcome.webm

36 MB

02. Python Basics/01. Meet Python/02. Running Scripts.webm

14 MB

02. Python Basics/01. Meet Python/03. The Python Shell.webm

20 MB

02. Python Basics/01. Meet Python/04. Syntax and Errors.webm

23 MB

02. Python Basics/01. Meet Python/05. Variables.webm

20 MB

02. Python Basics/01. Meet Python/06. Code Challenges.md

908 B

02. Python Basics/01. Meet Python/07. Input and Coding Style.webm

26 MB

02. Python Basics/02. Types and Branching/01. Numeric.webm

27 MB

02. Python Basics/02. Types and Branching/02. Strings and Operators.webm

14 MB

02. Python Basics/02. Types and Branching/03. String Methods.webm

13 MB

02. Python Basics/02. Types and Branching/04. Booleans.webm

18 MB

02. Python Basics/02. Types and Branching/05. If, Else and Elif.webm

23 MB

02. Python Basics/02. Types and Branching/06. Comparisons.webm

25 MB

02. Python Basics/03. Functions and Looping/01. Functions.webm

30 MB

02. Python Basics/03. Functions and Looping/02. Returning Values.webm

25 MB

02. Python Basics/03. Functions and Looping/03. Expecting Exceptions.webm

19 MB

02. Python Basics/03. Functions and Looping/04. Raising Exceptions.webm

16 MB

02. Python Basics/03. Functions and Looping/05. While Loops.webm

25 MB

02. Python Basics/03. Functions and Looping/06. For Loops.webm

11 MB

02. Python Basics/04. All Together Now/01. The Project.webm

18 MB

02. Python Basics/04. All Together Now/02. Gather Information.webm

13 MB

02. Python Basics/04. All Together Now/03. Branch and Loop.webm

19 MB

02. Python Basics/04. All Together Now/04. Handle Exceptions.webm

20 MB

02. Python Basics/04. All Together Now/05. Cleaner Code Through Refactoring.webm

21 MB

02. Python Basics/04. All Together Now/06. Wrapping Up.webm

19 MB

03. Introducing Lists/Introducing Lists.md

3.5 kB

03. Introducing Lists/01. Meet Lists/01. Welcome.webm

16 MB

03. Introducing Lists/01. Meet Lists/02. Creation.webm

10 MB

03. Introducing Lists/01. Meet Lists/03. Addition.webm

13 MB

03. Introducing Lists/01. Meet Lists/04. Indexing.webm

32 MB

03. Introducing Lists/01. Meet Lists/05. Deletion.webm

15 MB

03. Introducing Lists/02. Using Lists/01. Iteration.webm

11 MB

03. Introducing Lists/02. Using Lists/02. Mutability.webm

14 MB

03. Introducing Lists/02. Using Lists/03. Split and Join.webm

13 MB

03. Introducing Lists/02. Using Lists/04. Multidimensional Lists.webm

14 MB

03. Introducing Lists/03. Build an Application/01. The Application.webm

19 MB

03. Introducing Lists/03. Build an Application/02. Add Items.webm

10 MB

03. Introducing Lists/03. Build an Application/03. Display the List.webm

14 MB

03. Introducing Lists/03. Build an Application/04. Wrap Up.webm

6.1 MB

04. Introducing Dictionaries/Introducing Dictionaries.md

2.9 kB

04. Introducing Dictionaries/01. Introducing Dictionaries/01. What is a dictionary.webm

16 MB

04. Introducing Dictionaries/01. Introducing Dictionaries/02. Dictionary Syntax and KeyValue Pairs.webm

12 MB

04. Introducing Dictionaries/01. Introducing Dictionaries/03. Accessing Keys and Values.webm

6.3 MB

04. Introducing Dictionaries/01. Introducing Dictionaries/04. Update and Mutate Dictionaries.webm

6.3 MB

04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/01. Iterate over Dictionaries.webm

6.3 MB

04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/02. Packing with Dictionaries.webm

6.2 MB

04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/03. Unpacking with Dictionaries.md

1.2 kB

05. Python Sequences/Python Sequences.md

3.5 kB

05. Python Sequences/01. Sequence Iteration/01. Lets Chat About Sequences.webm

12 MB

05. Python Sequences/01. Sequence Iteration/02. Iterating with Basic For Loops.webm

8.7 MB

05. Python Sequences/01. Sequence Iteration/03. Iterating with Enumerate.webm

7.1 MB

05. Python Sequences/01. Sequence Iteration/04. Iterating with Ranges.webm

6.4 MB

05. Python Sequences/02. Sequence Operations/01. Sequence Operations.webm

7.8 MB

05. Python Sequences/02. Sequence Operations/02. Slices.webm

7.0 MB

05. Python Sequences/02. Sequence Operations/03. Len, Min, and Max.webm

4.4 MB

05. Python Sequences/02. Sequence Operations/04. Membership Testing.webm

4.1 MB

05. Python Sequences/02. Sequence Operations/05. Count and Index.webm

6.9 MB

05. Python Sequences/02. Sequence Operations/06. Code Samples Membership Testing, Count, and Index.md

1.2 kB

05. Python Sequences/02. Sequence Operations/07. Concatenation and Multiplication.webm

4.4 MB

05. Python Sequences/02. Sequence Operations/08. Sequence Operations Cheat Sheet.md

2.7 kB

06. Functions, Packing, and Unpacking/Functions, Packing, and Unpacking.md

4.2 kB

06. Functions, Packing, and Unpacking/01. Introduction to Functions/01. Recap of Functions.webm

11 MB

06. Functions, Packing, and Unpacking/01. Introduction to Functions/02. Defining a Function.webm

3.9 MB

06. Functions, Packing, and Unpacking/01. Introduction to Functions/03. Calling a Function.webm

3.1 MB

06. Functions, Packing, and Unpacking/01. Introduction to Functions/04. Lets Talk About Scope.webm

11 MB

06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/01. Moving Forward.webm

4.9 MB

06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/02. Functions Recap and Cheat Sheet.md

1.4 kB

06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/03. All About Returns.webm

8.2 MB

06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/04. Arguments and Parameters.webm

6.7 MB

06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/05. Function Gotchas.md

1.6 kB

06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/06. Multiple Arguments and Parameters.webm

6.0 MB

06. Functions, Packing, and Unpacking/03. Packing and Unpacking/01. Packing.webm

14 MB

06. Functions, Packing, and Unpacking/03. Packing and Unpacking/02. Packing, a Practical Example.webm

5.4 MB

06. Functions, Packing, and Unpacking/03. Packing and Unpacking/03. Unpacking.webm

4.5 MB

06. Functions, Packing, and Unpacking/03. Packing and Unpacking/04. Unpacking, a Practical Example.webm

5.0 MB

07. Introducing Tuples/Introducing Tuples.md

1.8 kB

07. Introducing Tuples/Getting to Know Tuples/01. Introducing Tuples.webm

7.8 MB

07. Introducing Tuples/Getting to Know Tuples/02. Recap.webm

9.0 MB

07. Introducing Tuples/Getting to Know Tuples/03. Tuples vs. Lists.md

2.1 kB

07. Introducing Tuples/Getting to Know Tuples/04. Tuple Syntax.md

2.6 kB

08. Object-Oriented Python/Object-Oriented Python.md

7.1 kB

08. Object-Oriented Python/01. Instant Objects/01. What Are Objects And Classes.webm

30 MB

08. Object-Oriented Python/01. Instant Objects/02. Lets Make a Class!.webm

7.6 MB

08. Object-Oriented Python/01. Instant Objects/03. Methods.webm

14 MB

08. Object-Oriented Python/01. Instant Objects/04. Method Arguments.webm

14 MB

08. Object-Oriented Python/01. Instant Objects/05. Design.webm

32 MB

08. Object-Oriented Python/01. Instant Objects/Project Files/Object-Oriented+Python+2.zip

130 kB

08. Object-Oriented Python/02. Inheritance/01. Complex Relationships.webm

19 MB

08. Object-Oriented Python/02. Inheritance/02. Super-Duper!.webm

17 MB

08. Object-Oriented Python/02. Inheritance/03. Multiple Superclasses.webm

31 MB

08. Object-Oriented Python/02. Inheritance/04. Family Tree.webm

20 MB

08. Object-Oriented Python/02. Inheritance/Project Files/Object-Oriented+Python+2.zip

130 kB

08. Object-Oriented Python/03. Advanced Objects/01. Controlling Conversion.webm

20 MB

08. Object-Oriented Python/03. Advanced Objects/02. Math.webm

14 MB

08. Object-Oriented Python/03. Advanced Objects/03. Emulating Built-ins.webm

24 MB

08. Object-Oriented Python/03. Advanced Objects/04. Subclassing Built-ins.webm

28 MB

08. Object-Oriented Python/03. Advanced Objects/05. Constructicons.webm

19 MB

08. Object-Oriented Python/03. Advanced Objects/06. Special Methods.webm

20 MB

08. Object-Oriented Python/03. Advanced Objects/Project Files/Object-Oriented+Python+2.zip

130 kB

08. Object-Oriented Python/04. Dice Roller/01. Project Breakdown.webm

17 MB

08. Object-Oriented Python/04. Dice Roller/02. Comparing and Combining Dice.webm

18 MB

08. Object-Oriented Python/04. Dice Roller/03. Giving a Hand.webm

20 MB

08. Object-Oriented Python/04. Dice Roller/04. Yatzy Scoring.webm

14 MB

08. Object-Oriented Python/04. Dice Roller/05. Where to Now.webm

16 MB

08. Object-Oriented Python/04. Dice Roller/Project Files/Object-Oriented+Python+2.zip

130 kB

09. Learning SQL/Learning SQL.md

495 B

10. Introduction to Anaconda/01. What is Anaconda and why use it.webm

22 MB

10. Introduction to Anaconda/02. Installing Anaconda.webm

18 MB

10. Introduction to Anaconda/03. Using conda to Install Packages.webm

9.4 MB

10. Introduction to Anaconda/04. miniconda.webm

20 MB

10. Introduction to Anaconda/Introduction to Anaconda.md

1.1 kB

11. Jupyter Notebooks/01. Installation and Creating Your First Notebook.webm

18 MB

11. Jupyter Notebooks/02. Running Code in Cells.webm

12 MB

11. Jupyter Notebooks/03. Graphs and Charts.webm

25 MB

11. Jupyter Notebooks/04. Other Languages.webm

20 MB

11. Jupyter Notebooks/Jupyter Notebooks.md

1.2 kB

12. Introduction to NumPy/Introduction to NumPy.md

4.4 kB

12. Introduction to NumPy/01. Meet NumPy/01. Welcome.webm

46 MB

12. Introduction to NumPy/01. Meet NumPy/02. Getting Setup.webm

18 MB

12. Introduction to NumPy/01. Meet NumPy/03. Introducing Arrays.webm

38 MB

12. Introduction to NumPy/01. Meet NumPy/04. Creating the Study Log.webm

29 MB

12. Introduction to NumPy/01. Meet NumPy/05. Multidimensional Arrays.webm

35 MB

12. Introduction to NumPy/01. Meet NumPy/Project Files/python-intro-to-numpy.zip

58 kB

12. Introduction to NumPy/02. Array Organization/01. Indexing.webm

49 MB

12. Introduction to NumPy/02. Array Organization/02. Boolean Array Indexing.webm

45 MB

12. Introduction to NumPy/02. Array Organization/03. Slicing.webm

28 MB

12. Introduction to NumPy/02. Array Organization/04. Manipulation.webm

44 MB

12. Introduction to NumPy/02. Array Organization/Project Files/python-intro-to-numpy.zip

58 kB

12. Introduction to NumPy/03. Array Programming/01. New Way of Thinking.webm

55 MB

12. Introduction to NumPy/03. Array Programming/02. Universal Functions.webm

43 MB

12. Introduction to NumPy/03. Array Programming/03. Routines in Action.webm

38 MB

12. Introduction to NumPy/03. Array Programming/04. Plotting.webm

39 MB

12. Introduction to NumPy/03. Array Programming/05. No Problem.webm

18 MB

12. Introduction to NumPy/03. Array Programming/Project Files/python-intro-to-numpy.zip

58 kB

13. Introduction to pandas/0. Meet pandas/0.Welcome.webm

40 MB

13. Introduction to pandas/0. Meet pandas/1.Meet Series.webm

12 MB

13. Introduction to pandas/0. Meet pandas/2.Vectorization and Broadcasting Review.webm

14 MB

13. Introduction to pandas/0. Meet pandas/3.Meet DataFrames.webm

12 MB

13. Introduction to pandas/0. Meet pandas/4.Onwards.webm

4.8 MB

13. Introduction to pandas/0. Meet pandas/Instruction/About This Course.png

301 kB

13. Introduction to pandas/0. Meet pandas/Instruction/Accessing a DataFrame.png

718 kB

13. Introduction to pandas/0. Meet pandas/Instruction/Accessing a Series.png

680 kB

13. Introduction to pandas/0. Meet pandas/Instruction/Creating a DataFrame.png

465 kB

13. Introduction to pandas/0. Meet pandas/Instruction/Creating a Series.png

512 kB

13. Introduction to pandas/0. Meet pandas/Instruction/Series Vectorization and Broadcasting.png

553 kB

13. Introduction to pandas/0. Meet pandas/Project Files/python-introducing-pandas-1.2.0.zip

88 kB

13. Introduction to pandas/1. Exploring pandas/0.Importing Data.webm

9.0 MB

13. Introduction to pandas/1. Exploring pandas/1.Manipulation.webm

5.5 MB

13. Introduction to pandas/1. Exploring pandas/2.Combining DataFrames.webm

8.9 MB

13. Introduction to pandas/1. Exploring pandas/3.Until Next Time.webm

14 MB

13. Introduction to pandas/1. Exploring pandas/Instruction/Combining DataFrames.png

1.2 MB

13. Introduction to pandas/1. Exploring pandas/Instruction/Exploration Methods.png

1.2 MB

13. Introduction to pandas/1. Exploring pandas/Instruction/Grouping.png

946 kB

13. Introduction to pandas/1. Exploring pandas/Instruction/Handling Duplicated and Missing Data.png

863 kB

13. Introduction to pandas/1. Exploring pandas/Instruction/Manipulating Text.png

725 kB

13. Introduction to pandas/1. Exploring pandas/Instruction/Manipulation Techniques.png

1.2 MB

13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #1 - Top Referrers.png

394 kB

13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #2 - Update Users.png

399 kB

13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #3 - Verified Email List.png

419 kB

13. Introduction to pandas/1. Exploring pandas/Instruction/Selecting Data.png

752 kB

14. Preparing Data for Analysis/Preparing Data for Analysis.md

2.3 kB

14. Preparing Data for Analysis/01. Understanding Cleaning Data/01. What Is Cleaning Data.webm

17 MB

14. Preparing Data for Analysis/01. Understanding Cleaning Data/02. Context.webm

17 MB

14. Preparing Data for Analysis/01. Understanding Cleaning Data/03. Bad Data Types.webm

18 MB

14. Preparing Data for Analysis/02. Data Cleaning/01. Cleaning A Spreadsheet.webm

35 MB

14. Preparing Data for Analysis/02. Data Cleaning/02. Cleaning A Spreadsheet Part 2.webm

21 MB

14. Preparing Data for Analysis/02. Data Cleaning/03. Cleaning A CSV.webm

23 MB

14. Preparing Data for Analysis/02. Data Cleaning/04. Cleaning A CSV Part 2.webm

24 MB

14. Preparing Data for Analysis/02. Data Cleaning/05. Cleaning A CSV Part 3.webm

24 MB

14. Preparing Data for Analysis/02. Data Cleaning/06. Cleaning A CSV Part 4.webm

24 MB

14. Preparing Data for Analysis/02. Data Cleaning/Project Files/preparing-data-for-analysis-student.zip

38 kB

15. Introduction to Data Visualization with Matplotlib/Introduction to Data Visualization with Matplotlib.md

4.5 kB

15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/01. Welcome to Matplotlib.webm

13 MB

15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/02. Getting Started with Charting.webm

10 MB

15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/03. The Legend of Charting.webm

11 MB

15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/04. Chart Types & Reasons to Use.webm

19 MB

15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/Project Files/intro_matplotlib.zip

266 kB

15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/01. Our Data Set - Flower Power.webm

19 MB

15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/02. Scatter Plot.webm

17 MB

15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/03. Histogram.webm

18 MB

15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/04. Box Plot.webm

15 MB

15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/05. Saving Your Work.webm

12 MB

15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/Project Files/intro_matplotlib.zip

266 kB

15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/01. Problem Discussion.webm

13 MB

15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/02. Decision Process.webm

20 MB

15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/03. Problem Summary and Presentation.webm

8.9 MB

15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/Project Files/intro_matplotlib.zip

266 kB

16. More Visualization/More Visualization.md

1.0 kB

17. Scraping Data From the Web/Scraping Data From the Web.md

4.1 kB

17. Scraping Data From the Web/01. Introducing Data Scraping/01. What is Data Scraping.webm

31 MB

17. Scraping Data From the Web/01. Introducing Data Scraping/02. Web Page Anatomy.webm

19 MB

17. Scraping Data From the Web/01. Introducing Data Scraping/03. Beautiful Soup.webm

27 MB

17. Scraping Data From the Web/01. Introducing Data Scraping/04. More Soup in the Tureen.webm

24 MB

17. Scraping Data From the Web/01. Introducing Data Scraping/05. Being a Good Citizen.webm

31 MB

17. Scraping Data From the Web/01. Introducing Data Scraping/Project Files/scraping_data_from_the_web.zip

37 kB

17. Scraping Data From the Web/02. A World Full of Spiders/01. Everyone Loves Charlotte.webm

28 MB

17. Scraping Data From the Web/02. A World Full of Spiders/02. Installing Scrapy.webm

12 MB

17. Scraping Data From the Web/02. A World Full of Spiders/03. Crawling Spiders.webm

20 MB

17. Scraping Data From the Web/02. A World Full of Spiders/04. The Endless Web.webm

38 MB

17. Scraping Data From the Web/02. A World Full of Spiders/Project Files/scraping_data_from_the_web.zip

37 kB

17. Scraping Data From the Web/03. Additional Scraping Tasks/01. An Intelligent Spider.webm

20 MB

17. Scraping Data From the Web/03. Additional Scraping Tasks/02. Scraping APIs.webm

23 MB

17. Scraping Data From the Web/03. Additional Scraping Tasks/03. Using Scrapers for Site Testing.webm

22 MB

17. Scraping Data From the Web/03. Additional Scraping Tasks/04. Common Issues with Data Scraping.md

1.7 kB

17. Scraping Data From the Web/03. Additional Scraping Tasks/05. Wrapping Up.webm

7.3 MB

17. Scraping Data From the Web/03. Additional Scraping Tasks/Project Files/scraping_data_from_the_web.zip

37 kB

18. Data from APIs/01. Accessing an API with Python.webm

32 MB

18. Data from APIs/02. Gathering Weather Data.webm

8.3 MB

18. Data from APIs/03. Calling the API.webm

26 MB

18. Data from APIs/04. Saving the Data.webm

22 MB

18. Data from APIs/Data from APIs.md

1.0 kB

19. Introduction to Big Data/Introduction to Big Data.md

4.2 kB

19. Introduction to Big Data/01. What is Big Data/01. Welcome.webm

19 MB

19. Introduction to Big Data/01. What is Big Data/02. Characteristics of Big Data.webm

10 MB

19. Introduction to Big Data/01. What is Big Data/03. The Importance of Big Data.webm

23 MB

19. Introduction to Big Data/01. What is Big Data/04. Exploring Our New Problems.webm

41 MB

19. Introduction to Big Data/02. Where and How is Big Data Used/01. Where is it Being Used.webm

14 MB

19. Introduction to Big Data/02. Where and How is Big Data Used/02. Types of Data.webm

22 MB

19. Introduction to Big Data/02. Where and How is Big Data Used/03. Domain Data Storage.webm

35 MB

19. Introduction to Big Data/02. Where and How is Big Data Used/04. Domain Computations.webm

29 MB

19. Introduction to Big Data/02. Where and How is Big Data Used/05. Domain Infrastructure.webm

18 MB

19. Introduction to Big Data/03. Big Data at Netflix/01. What Problems Does Netflix Have.webm

30 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 MB

19. Introduction to Big Data/03. Big Data at Netflix/03. Wrapping Up.webm

28 MB

20. Machine Learning Basics/Machine Learning Basics.md

3.4 kB

20. Machine Learning Basics/01. Introduction to Machine Learning/01. What is Machine Learning.webm

22 MB

20. Machine Learning Basics/01. Introduction to Machine Learning/02. Supervised and Unsupervised Learning.webm

29 MB

20. Machine Learning Basics/01. Introduction to Machine Learning/03. Machine Learning Frameworks.webm

19 MB

20. Machine Learning Basics/02. Machine Learning Vocabulary/01. Examples and Features.webm

13 MB

20. Machine Learning Basics/02. Machine Learning Vocabulary/02. Labels and Classifiers.webm

11 MB

20. Machine Learning Basics/03. Writing a Classifier/01. Installing scikit-learn using Anaconda.webm

18 MB

20. Machine Learning Basics/03. Writing a Classifier/02. Loading a Dataset.webm

14 MB

20. Machine Learning Basics/03. Writing a Classifier/03. Making Predictions with a Classifier.webm

11 MB

20. Machine Learning Basics/03. Writing a Classifier/04. Machine Learning Review.webm

7.8 MB

20. Machine Learning Basics/03. Writing a Classifier/Project Files/ML-machine-learning-basics.zip

614 B

Common Issues with Data Scraping/Common Issues with Data Scraping.md

1.7 kB