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| 01. 26 Spread Part 1-zb76Z_viYLY.ar.vtt |
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| 01. 26 Spread Part 1-zb76Z_viYLY.en.vtt |
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| 01. Congratulations!.html |
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| 01. Creating New Repositories - Intro-KT163BkqIeg.ar.vtt |
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| 01. Diamonds.html |
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| 01. Gitfinal L1 01 Welcome-lbR82UD5F0c.ar.vtt |
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| 01. Video What is Tableau.html |
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| 01. Welcome!.html |
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| 01. Welcome!.html |
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| 01. Welcome!-cCOHhYXU6G0.mp4 |
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| 01. Welcome Back!.html |
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| 01. Welcome to Collections.html |
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| 01. Welcome To DAND Term 1-Q1GEXzXXLN0.ar.vtt |
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| 01. Welcome To Decision Trees.html |
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| 01. Welcome to Evaluation Metrics Lesson.html |
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| 01. Welcome to Introduction to Python Programming-IILB-5hIeZM.ar.vtt |
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| 01. Welcome to Introduction to Python Programming-IILB-5hIeZM.zh-CN.vtt |
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| 01. Welcome to SVM.html |
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| 01. Welcome to SVM-gnAmmyQ_ZcQ.ar.vtt |
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| 01. Welcome to SVM-gnAmmyQ_ZcQ.en.vtt |
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| 01. Welcome to Term 2 of the Data Analyst Nanodegree program.html |
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| 01. What are Jupyter notebooks.html |
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| 01. What are we going to do-rK6YlbBiKQM.ar.vtt |
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| 01. What is Tableau-LeCpU8HvVg8.ar.vtt |
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| 01. What is Version Control.html |
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| 01. Why Anaconda-VXukXZv7SCQ.ar.vtt |
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| 01. Why Feature Selection.html |
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| 01. Why Network.html |
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| 01. Your first project.html |
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| 02. A Metric for Chris.html |
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| 02. Analyzing with IPython.html |
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| 02. A New Enron Feature.html |
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| 02. Arithmetic.html |
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| 02. Beautiful Soup Demonstration-dk7ESZXLnk4.ar.vtt |
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| 02. Benefits of Testing.html |
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| 02. Cancer Test.html |
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| 02. Welcome to the Course!.html |
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| 04. Navigating Your Working Directory and File IO.html |
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| 04. Normalizing 1.html |
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| 04. Notebook + Quiz Building Confidence Intervals.html |
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| 04. Solution Arithmetic Operators.html |
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| 04. Solutions FULL OUTER JOIN.html |
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| 04. Solutions LEFT RIGHT.html |
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| 04. Solutions Window Functions 1.html |
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| 04. Solutions Write Your First Subquery.html |
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| 04. Syntax.html |
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| 04. Text + Quiz Your First JOIN.html |
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| 04. Top Section.html |
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| 04. Tree Practice.html |
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11.71KB |
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| 04. Unclean Data Dirty vs. Messy 1.html |
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7.92KB |
| 04. Video + Text First Aggregation - COUNT.html |
9.61KB |
| 04. Video + Text The Parch Posey Database.html |
12.09KB |
| 04. Video Fitting Logistic Regression in Python.html |
8.84KB |
| 04. Video Introduction to Five Number Summary.html |
10.44KB |
| 04. Video Introduction to Linear Regression.html |
8.02KB |
| 04. Video What is Data Why is it important.html |
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| 04. Viewing Modified Files.html |
13.29KB |
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| 04. What's Next in Your Journey!.html |
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| 04. What Makes A Good Separating Line.html |
11.25KB |
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| 05. Assessing Data.html |
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| 05. Aude's Interest in Data.html |
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| 05. Beware of Feature Bugs!.html |
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| 05. Binomial Distributions Quiz.html |
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| 05. Cheaper Diamonds.html |
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| Project Rubric - Explore US Bikeshare Data.html |
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| Project Rubric - Explore Weather Trends.html |
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| Project Rubric - Interview Practice (Data Analyst).html |
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| Project Rubric - Investigate a Dataset.html |
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| Project Rubric - LinkedIn Profile Review Project.html |
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| Project Rubric - Optimize Your GitHub Profile.html |
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| Project Rubric - Resume Review Project (Career Change).html |
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| Project Rubric - Resume Review Project (Entry-level).html |
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| Project Rubric - Resume Review Project (Prior Industry Experience).html |
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| Project Rubric - Technical Interview Practice.html |
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| Project Rubric - Test a Perceptual Phenomenon.html |
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| Project Rubric - Udacity Professional Profile Review.html |
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| Project Rubric - Wrangle and Analyze Data.html |
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| README.txt |
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