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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
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460б |
| 0.Importing Data.webm |
9.01Мб |
| 0.Welcome.webm |
39.76Мб |
| 01. Accessing an API with Python.webm |
32.28Мб |
| 01. An Intelligent Spider.webm |
19.85Мб |
| 01. Cleaning A Spreadsheet.webm |
35.38Мб |
| 01. Complex Relationships.webm |
18.73Мб |
| 01. Controlling Conversion.webm |
19.70Мб |
| 01. Everyone Loves Charlotte.webm |
27.89Мб |
| 01. Examples and Features.webm |
12.81Мб |
| 01. Functions.webm |
30.28Мб |
| 01. Indexing.webm |
48.99Мб |
| 01. Installation and Creating Your First Notebook.webm |
17.66Мб |
| 01. Installing scikit-learn using Anaconda.webm |
18.02Мб |
| 01. Introducing Tuples.webm |
7.81Мб |
| 01. Iterate over Dictionaries.webm |
6.28Мб |
| 01. Iteration.webm |
11.04Мб |
| 01. Lets Chat About Sequences.webm |
11.60Мб |
| 01. Making Better Decisions with Data Analysis.webm |
22.24Мб |
| 01. Moving Forward.webm |
4.88Мб |
| 01. New Way of Thinking.webm |
55.23Мб |
| 01. Numeric.webm |
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| 01. Our Data Set - Flower Power.webm |
19.09Мб |
| 01. Packing.webm |
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| 01. Problem Discussion.webm |
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| 01. Project Breakdown.webm |
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| 01. Recap of Functions.webm |
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| 01. Sequence Operations.webm |
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| 01. Summarizing Data Maximum, Minimum, Range.webm |
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| 01. The Application.webm |
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| 01. The Project.webm |
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| 01. Understanding Metrics.webm |
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| 01. Welcome.webm |
46.30Мб |
| 01. Welcome.webm |
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| 01. Welcome.webm |
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| 01. Welcome.webm |
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| 01. Welcome to Matplotlib.webm |
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| 01. What Are Objects And Classes.webm |
29.96Мб |
| 01. What is a dictionary.webm |
15.55Мб |
| 01. What is Anaconda and why use it.webm |
21.77Мб |
| 01. What Is Cleaning Data.webm |
16.69Мб |
| 01. What is Data Scraping.webm |
31.01Мб |
| 01. What is Machine Learning.webm |
22.40Мб |
| 01. What Problems Does Netflix Have.webm |
29.49Мб |
| 01. Where is it Being Used.webm |
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| 02. Add Items.webm |
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| 02. Boolean Array Indexing.webm |
45.36Мб |
| 02. Characteristics of Big Data.webm |
10.04Мб |
| 02. Cleaning A Spreadsheet Part 2.webm |
21.28Мб |
| 02. Comparing and Combining Dice.webm |
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| 02. Context.webm |
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| 02. Creation.webm |
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| 02. Data is Everywhere.webm |
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| 02. Decision Process.webm |
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| 02. Defining a Function.webm |
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| 02. Defining Terms.webm |
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| 02. Dictionary Syntax and KeyValue Pairs.webm |
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| 02. Functions Recap and Cheat Sheet.md |
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| 02. Gather Information.webm |
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| 02. Gathering Weather Data.webm |
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| 02. Getting Setup.webm |
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| 02. Getting Started with Charting.webm |
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| 02. How Does Netflix Apply Big Data Tools to Solve these Problems.webm |
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| 02. Installing Anaconda.webm |
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| 02. Installing Scrapy.webm |
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| 02. Iterating with Basic For Loops.webm |
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| 02. Labels and Classifiers.webm |
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| 02. Lets Make a Class!.webm |
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| 02. Loading a Dataset.webm |
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| 02. Math.webm |
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| 02. Mutability.webm |
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| 02. Packing, a Practical Example.webm |
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| 02. Packing with Dictionaries.webm |
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| 02. Recap.webm |
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| 02. Returning Values.webm |
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| 02. Running Code in Cells.webm |
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| 02. Running Scripts.webm |
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| 02. Scatter Plot.webm |
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| 02. Scraping APIs.webm |
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| 02. Slices.webm |
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| 02. Strings and Operators.webm |
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| 02. Summarizing Data Mean, Median, Mode.webm |
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| 02. Supervised and Unsupervised Learning.webm |
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| 02. Types of Data.webm |
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| 02. Universal Functions.webm |
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| 03. All About Returns.webm |
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| 03. Analyzing Data Spread.webm |
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| 03. Analyzing the Data.webm |
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| 03. Beautiful Soup.webm |
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| 03. Branch and Loop.webm |
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| 03. Calling a Function.webm |
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| 03. Calling the API.webm |
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| 03. Cleaning A CSV.webm |
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| 03. Crawling Spiders.webm |
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| 03. Creating a Spreadsheet.webm |
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| 03. Display the List.webm |
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| 03. Domain Data Storage.webm |
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| 03. Emulating Built-ins.webm |
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| 03. Expecting Exceptions.webm |
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| 03. Giving a Hand.webm |
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| 03. Graphs and Charts.webm |
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| 03. Histogram.webm |
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| 03. Introducing Arrays.webm |
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| 03. Iterating with Enumerate.webm |
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| 03. Len, Min, and Max.webm |
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| 03. Machine Learning Frameworks.webm |
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| 03. Making Predictions with a Classifier.webm |
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| 03. Methods.webm |
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| 03. Multiple Superclasses.webm |
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| 03. Problem Summary and Presentation.webm |
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| 03. Routines in Action.webm |
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| 03. Slicing.webm |
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| 03. Split and Join.webm |
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| 03. String Methods.webm |
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| 03. The Importance of Big Data.webm |
22.77Мб |
| 03. The Legend of Charting.webm |
10.76Мб |
| 03. The Python Shell.webm |
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| 03. Tuples vs. Lists.md |
2.06Кб |
| 03. Unpacking.webm |
4.50Мб |
| 03. Unpacking with Dictionaries.md |
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| 03. Using conda to Install Packages.webm |
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| 03. Using Scrapers for Site Testing.webm |
22.21Мб |
| 03. Wrapping Up.webm |
27.63Мб |
| 04. Arguments and Parameters.webm |
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| 04. Booleans.webm |
17.58Мб |
| 04. Box Plot.webm |
14.64Мб |
| 04. Chart Types & Reasons to Use.webm |
18.92Мб |
| 04. Cleaning A CSV Part 2.webm |
24.40Мб |
| 04. Common Issues with Data Scraping.md |
1.67Кб |
| 04. Creating the Study Log.webm |
29.11Мб |
| 04. Domain Computations.webm |
29.31Мб |
| 04. Exploring Our New Problems.webm |
41.33Мб |
| 04. Family Tree.webm |
20.08Мб |
| 04. Getting Good Data is Hard.webm |
37.57Мб |
| 04. Handle Exceptions.webm |
19.96Мб |
| 04. Indexing.webm |
31.57Мб |
| 04. Is Our Data Normal.webm |
10.71Мб |
| 04. Iterating with Ranges.webm |
6.38Мб |
| 04. Lets Talk About Scope.webm |
10.96Мб |
| 04. Machine Learning Review.webm |
7.79Мб |
| 04. Manipulation.webm |
43.46Мб |
| 04. Membership Testing.webm |
4.12Мб |
| 04. Method Arguments.webm |
13.49Мб |
| 04. miniconda.webm |
20.41Мб |
| 04. More Soup in the Tureen.webm |
23.56Мб |
| 04. Multidimensional Lists.webm |
14.17Мб |
| 04. Other Languages.webm |
20.20Мб |
| 04. Plotting.webm |
38.74Мб |
| 04. Presenting Your Findings.webm |
30.37Мб |
| 04. Raising Exceptions.webm |
15.95Мб |
| 04. Saving the Data.webm |
22.30Мб |
| 04. Subclassing Built-ins.webm |
28.47Мб |
| 04. Syntax and Errors.webm |
23.06Мб |
| 04. The Endless Web.webm |
38.37Мб |
| 04. Tuple Syntax.md |
2.58Кб |
| 04. Unpacking, a Practical Example.webm |
5.00Мб |
| 04. Update and Mutate Dictionaries.webm |
6.29Мб |
| 04. Wrap Up.webm |
6.09Мб |
| 04. Yatzy Scoring.webm |
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| 05. Being a Good Citizen.webm |
31.17Мб |
| 05. Cleaner Code Through Refactoring.webm |
21.10Мб |
| 05. Cleaning A CSV Part 3.webm |
23.96Мб |
| 05. Constructicons.webm |
19.30Мб |
| 05. Count and Index.webm |
6.86Мб |
| 05. Deletion.webm |
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| 05. Design.webm |
31.53Мб |
| 05. Domain Infrastructure.webm |
17.49Мб |
| 05. Function Gotchas.md |
1.56Кб |
| 05. If, Else and Elif.webm |
22.88Мб |
| 05. Multidimensional Arrays.webm |
35.33Мб |
| 05. No Problem.webm |
17.91Мб |
| 05. Saving Your Work.webm |
12.02Мб |
| 05. Variables.webm |
20.28Мб |
| 05. Visualizing Data.webm |
15.99Мб |
| 05. Where to Now.webm |
15.72Мб |
| 05. While Loops.webm |
24.61Мб |
| 05. Wrapping Up.webm |
7.32Мб |
| 06. Charting Our Data Part 1.webm |
9.12Мб |
| 06. Cleaning A CSV Part 4.webm |
23.67Мб |
| 06. Code Challenges.md |
908б |
| 06. Code Samples Membership Testing, Count, and Index.md |
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| 06. Comparisons.webm |
25.42Мб |
| 06. For Loops.webm |
11.23Мб |
| 06. Multiple Arguments and Parameters.webm |
5.99Мб |
| 06. Special Methods.webm |
19.91Мб |
| 06. Wrapping Up.webm |
18.82Мб |
| 07. Charting Our Data Part 2.webm |
12.63Мб |
| 07. Concatenation and Multiplication.webm |
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| 07. Input and Coding Style.webm |
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| 08. Sequence Operations Cheat Sheet.md |
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| About This Course.png |
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| Accessing a DataFrame.png |
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| Beginning Data Science.md |
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| Common Issues with Data Scraping.md |
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| Creating a DataFrame.png |
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| intro_matplotlib.zip |
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| Introducing Dictionaries.md |
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| Introduction to NumPy.md |
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| Scraping Data From the Web.md |
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| TutsNode.com.txt |
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