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| [TGx]Downloaded from torrentgalaxy.to .txt |
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| 1. Data Science MethodologyProcess Intro.mp4 |
131.71Мб |
| 1. Data Science MethodologyProcess Intro.srt |
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| 1. How to Use Markdown Cells (Adding Headers, Links, and Images).mp4 |
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| 1. How to Use Markdown Cells (Adding Headers, Links, and Images).srt |
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| 1. Introducing Decision and Looping Structures.mp4 |
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| 1. Introducing Functions.mp4 |
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| 1. Introducing Numpy.mp4 |
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| 1. Introducing Pandas.mp4 |
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| 1. Introducing you to Nested Data and Iteration.mp4 |
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| 1. Intro to Data Science.mp4 |
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| 1. Intro to Github.mp4 |
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| 1. Libraries.mp4 |
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| 1. Linear Equation Definition.mp4 |
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| 1. Mathematical Structures.mp4 |
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| 1. Probability Models and Axioms.mp4 |
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| 1. Purpose of Chatbot Section.mp4 |
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| 1. Random Variables.mp4 |
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| 1. Solution - Fill in Activity - Fundamentals.mp4 |
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| 1. Statistical Inference.mp4 |
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| 1. Welcome to the Python for Data Science and Machine Learning Section.html |
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| 1. What IS the best language for Data Science.mp4 |
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| 1. Windows - Download Anaconda Distribution (includes Python!).mp4 |
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| 10. Covariance, Correlation and More on Variance.mp4 |
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| 10. Delete Elements.mp4 |
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| 10. Dim of C(A) and N(A).mp4 |
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| 10. Formal Function vs. Lambda for splitting strings.mp4 |
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| 10. Grouping (groupby).mp4 |
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| 10. PracticalReal World Example - Using Common Mathematical Notation.mp4 |
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| 11. Append.mp4 |
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| 11. Creating a Set.mp4 |
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| 11. Fill in Activity 2 - Looping and Functions.html |
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| 11. Law of Large Numbers (LLN).mp4 |
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| 11. PracticalReal World Example - Creating a Constrained ID.mp4 |
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| 11. Row Operations Example (REF).mp4 |
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| 11. Sorting.mp4 |
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| 11. The Dimension of a Vector Space.mp4 |
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| 12. Activity Building Intuition (Loops, Nested Data, Iteration and List Comp).mp4 |
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| 12. Central Limit Theorem (CLT).mp4 |
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| 12. Checking Data Types and Converting.mp4 |
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| 12. Insert Elements.mp4 |
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| 12. Linear Maps.mp4 |
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| 12. Set - How To Use.mp4 |
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| 13.1 Fill+in+Activity+(Nested+and+List+Comprehension)+(1) (1).rar |
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| 13. Dealing with Missing Values.mp4 |
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| 13. Fill in Activity 3 - Nesting and List Comp.html |
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| 13. Four Fundamental Subspaces.mp4 |
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| 13. General Formula - Matrix Vector Multiplication.mp4 |
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| 13. Operators.mp4 |
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| 14.1 Fill+in+Activity+(Fundamentals) (1).rar |
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| 14. Adding Geometry to Vector Spaces.mp4 |
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| 14. Adding Geometry to Vector Spaces.srt |
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| 14. Dropping ColumnsVariables and RecordsRows.mp4 |
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| 14. Fill in Activity 1 - Fundamentals.html |
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| 14. Flatten.mp4 |
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| 14. Tips for Row Operations.mp4 |
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| 15. Orthogonal Projection - One Method for Least Squares.mp4 |
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| 15. Renaming ColumnsVariables and RecordsRows.mp4 |
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| 16. Concatenate.mp4 |
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| 16. Concat Function + Pop Quiz.mp4 |
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| 16. Least Squares.mp4 |
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| 17. Real World Activity Add New Columns and Predict Stock Movement.mp4 |
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| 17. Real World Activity Add New Columns and Predict Stock Movement.srt |
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| 17. Splitting.mp4 |
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| 18. AggregateStatistical Functions.mp4 |
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| 19.1 Numpy+Fill-In+Activity (1).rar |
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| 19. Fill in Activity - Numpy.html |
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| 2. Abelian Groups and Fields.mp4 |
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| 2. Abelian Groups and Fields.srt |
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| 2. API's.mp4 |
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| 2. Bayesian Estimator.mp4 |
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| 2. Business Understanding.mp4 |
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| 2. Business Understanding.srt |
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| 2. Comments - Inline and Block Comments.mp4 |
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| 2. Comments - Inline and Block Comments.srt |
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| 2. Create a Repository.mp4 |
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| 2. Create a Repository.srt |
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| 2. Creating our first Numpy Array.mp4 |
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| 2. Creating our first Numpy Array.srt |
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| 2. Forms of a Linear Equation.mp4 |
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| 2. Forms of a Linear Equation.srt |
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| 2. For SAS Programmers Analogous Terms in Pandas (Python).mp4 |
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| 2. For SAS Programmers Analogous Terms in Pandas (Python).srt |
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| 2. Functions - General Syntax.mp4 |
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| 2. Functions - General Syntax.srt |
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| 2. If statement.mp4 |
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| 2. OptionsFeatures When Watching Videos.mp4 |
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| 2. Probability Mass Function and Discrete R.V's.mp4 |
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| 2. Probability Mass Function and Discrete R.V's.srt |
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| 2. Python.mp4 |
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| 2. Simple Counting.mp4 |
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| 2. Simple Nested Example.mp4 |
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| 2. Solution - Fill in Activity - Looping and Functions.mp4 |
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| 2. Solution - Fill in Activity - Looping and Functions.srt |
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| 2. What a Data Scientist Does.mp4 |
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| 2. What a Data Scientist Does.srt |
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| 2. What is a Chatbot.mp4 |
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| 2. What is a Chatbot.srt |
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| 2. Windows - Install Anaconda Distribution.mp4 |
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| 3. +1 Function.mp4 |
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| 3.1 NotebooksandDataSets.rar |
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| 3. Big Data.mp4 |
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| 3. Big Data.srt |
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| 3. Creating Branch and Commit Changes.mp4 |
32.76Мб |
| 3. Creating Branch and Commit Changes.srt |
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| 3. Datasets.mp4 |
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| 3. Datasets.srt |
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| 3. Data Understanding.mp4 |
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| 3. Discrete Example.mp4 |
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| 3. Double Indexing.mp4 |
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| 3. Else Statement.mp4 |
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| 3. Example - Bayesian Estimator.mp4 |
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| 3. Expectation and Variance for Discrete Random Variables.mp4 |
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| 3. Python Indentation.mp4 |
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| 3. Resources (Data-sets and Notebooks).html |
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| 3. SAS.mp4 |
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| 3. Shaping An Array (when you know the shape you want).mp4 |
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| 3. Signing up for Watson Assistant.mp4 |
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| 3. Solution - Fill in Activity - Nested and List Comprehension.mp4 |
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| 3. Systems of Linear Equations.mp4 |
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| 3. Using Series as Input into DataFrame.mp4 |
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| 3. Vector Spaces 1.mp4 |
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| 3. Windows - Setting Up Environment.mp4 |
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| 4. Conditional Bayes.mp4 |
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| 4. Creating a name - Healthcare Service Chatbot.mp4 |
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| 4. Creating a Sequence of Integers and Floats.mp4 |
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| 4. Data Mining.mp4 |
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| 4. Fav Band Function.mp4 |
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| 4. Joint PMF's (Multiple Discrete Variables).mp4 |
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| 4. Line and Plane.mp4 |
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| 4. Mean Squared Error = Variance. Why.mp4 |
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| 4. Pull Request and Merging Pull Request.mp4 |
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| 4. R.mp4 |
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| 4. Solution - Fill in Activity - Numpy.mp4 |
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| 4. Vector Spaces - Concrete Example.mp4 |
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| 4. Windows - Opening Jupyter Notebook.mp4 |
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| 4. Writing Single and Multiple Lines of Code.mp4 |
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| 5. Celsius to Fahrenheit Function.mp4 |
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| 5. Conditional Example 1.mp4 |
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| 5. Continuous Random Variables.mp4 |
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| 5. Importing TSLA Dataset.mp4 |
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| 5. Intents.mp4 |
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| 5. List of Dicts and Dicts of Dicts Example.mp4 |
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| 5. Machine Learning vs. Deep Learning.mp4 |
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| 5. MacOS - Anaconda Download and Install.mp4 |
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| 6. Conditional Healthcare (Cancer) Example 2.srt |
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| 6. Continuous Random Variables and Probability Density Function.mp4 |
6.82Мб |
| 6. Continuous Random Variables and Probability Density Function.srt |
3.03Кб |
| 6. Entities.mp4 |
30.48Мб |
| 6. Entities.srt |
9.67Кб |
| 6. Evaluation.mp4 |
186.46Мб |
| 6. Evaluation.srt |
11.13Кб |
| 6. Index Based Selection (iloc).mp4 |
9.14Мб |
| 6. Index Based Selection (iloc).srt |
3.12Кб |
| 6. Linear Combinations and Span.mp4 |
17.29Мб |
| 6. Linear Combinations and Span.srt |
5.28Кб |
| 6. MacOS - Conda Environment.mp4 |
40.25Мб |
| 6. MacOS - Conda Environment.srt |
5.00Кб |
| 6. Main Data Types and Creating Them (Integer, Float, String, List, Dictionary).mp4 |
17.13Мб |
| 6. Main Data Types and Creating Them (Integer, Float, String, List, Dictionary).srt |
6.12Кб |
| 6. Nested Iteration - Iterating through List of Lists.mp4 |
18.18Мб |
| 6. Nested Iteration - Iterating through List of Lists.srt |
4.83Кб |
| 6. Optional Return Statement (and comparing it to Print Statement).mp4 |
14.46Мб |
| 6. Optional Return Statement (and comparing it to Print Statement).srt |
5.43Кб |
| 6. System of Equations as a Matrix.mp4 |
14.14Мб |
| 6. System of Equations as a Matrix.srt |
5.16Кб |
| 6. While Loop.mp4 |
11.55Мб |
| 6. While Loop.srt |
4.82Кб |
| 60 |
142.02Кб |
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339.53Кб |
| 62 |
819.12Кб |
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116.31Кб |
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360.11Кб |
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528.21Кб |
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653.48Кб |
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716.93Кб |
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28.16Кб |
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64.77Кб |
| 7 |
894.79Кб |
| 7. Break and Continue Statements.mp4 |
12.51Мб |
| 7. Break and Continue Statements.srt |
4.23Кб |
| 7. Continuous R.V. Example.mp4 |
13.88Мб |
| 7. Continuous R.V. Example.srt |
4.31Кб |
| 7. Defining a Function vs. Calling a Function (including different ways to call).mp4 |
39.09Мб |
| 7. Defining a Function vs. Calling a Function (including different ways to call).srt |
14.68Кб |
| 7. Defining List Comprehension and Syntax.mp4 |
15.40Мб |
| 7. Defining List Comprehension and Syntax.srt |
6.11Кб |
| 7. Deployment.mp4 |
148.95Мб |
| 7. Deployment.srt |
7.90Кб |
| 7. Independence of Events (what it means and doesn't mean).mp4 |
27.94Мб |
| 7. Independence of Events (what it means and doesn't mean).srt |
9.75Кб |
| 7. Is it in the Span.mp4 |
11.40Мб |
| 7. Is it in the Span.srt |
4.08Кб |
| 7. Label Based Selection (loc).mp4 |
17.56Мб |
| 7. Label Based Selection (loc).srt |
5.01Кб |
| 7. Lists - How To Use.mp4 |
40.33Мб |
| 7. Lists - How To Use.srt |
11.66Кб |
| 7. MacOS - Jupyter Notebook.mp4 |
18.93Мб |
| 7. MacOS - Jupyter Notebook.srt |
2.69Кб |
| 7. Numpy Indexing.mp4 |
15.09Мб |
| 7. Numpy Indexing.srt |
5.80Кб |
| 7. Suggestions for More Learning.mp4 |
11.53Мб |
| 7. Suggestions for More Learning.srt |
3.06Кб |
| 7. System in Corresponding Forms.mp4 |
28.91Мб |
| 7. System in Corresponding Forms.srt |
7.37Кб |
| 70 |
148.45Кб |
| 71 |
391.80Кб |
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814.05Кб |
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326.48Кб |
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850.55Кб |
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165.28Кб |
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817.01Кб |
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913.82Кб |
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915.02Кб |
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313.42Кб |
| 8 |
368.44Кб |
| 8. Conditional Selection.mp4 |
26.20Мб |
| 8. Conditional Selection.srt |
5.86Кб |
| 8. Dictionaries - How To Use.mp4 |
17.28Мб |
| 8. Dictionaries - How To Use.srt |
4.51Кб |
| 8. Joint PDF Example - Banking.mp4 |
43.65Мб |
| 8. Joint PDF Example - Banking.srt |
10.87Кб |
| 8. Jupyter Notebook Interface and Shortcuts.mp4 |
24.30Мб |
| 8. Jupyter Notebook Interface and Shortcuts.srt |
9.38Кб |
| 8. Linear Independence.mp4 |
11.66Мб |
| 8. Linear Independence.srt |
3.99Кб |
| 8. List Comprehension - Simple Examples.mp4 |
14.76Мб |
| 8. List Comprehension - Simple Examples.srt |
4.10Кб |
| 8. Numpy Slicing.mp4 |
7.64Мб |
| 8. Numpy Slicing.srt |
3.05Кб |
| 8. Permutations and Combinations.mp4 |
27.02Мб |
| 8. Permutations and Combinations.srt |
10.61Кб |
| 8. PracticalReal World Example Function to Get Reddit Data.mp4 |
62.08Мб |
| 8. PracticalReal World Example Function to Get Reddit Data.srt |
16.99Кб |
| 8. Row Echelon Form (Gaussian Elimination).mp4 |
27.39Мб |
| 8. Row Echelon Form (Gaussian Elimination).srt |
7.75Кб |
| 8. Section Recap Natural Language Processing , Machine Learning, and Use Cases.mp4 |
118.13Мб |
| 8. Section Recap Natural Language Processing , Machine Learning, and Use Cases.srt |
7.10Кб |
| 80 |
381.56Кб |
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604.20Кб |
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712.37Кб |
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69.26Кб |
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204.13Кб |
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840.31Кб |
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846.31Кб |
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71.83Кб |
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326.29Кб |
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452.43Кб |
| 9 |
380.78Кб |
| 9. A Basis for a Vector Space.mp4 |
13.48Мб |
| 9. A Basis for a Vector Space.srt |
3.97Кб |
| 9. Creating A Tuple.mp4 |
2.35Мб |
| 9. Creating A Tuple.srt |
1.21Кб |
| 9. Cumulative Distribution Function (CDF).mp4 |
17.93Мб |
| 9. Cumulative Distribution Function (CDF).srt |
6.35Кб |
| 9. Indexing and Slicing with Breast Cancer Wisconsin Data-set.mp4 |
27.53Мб |
| 9. Indexing and Slicing with Breast Cancer Wisconsin Data-set.srt |
5.34Кб |
| 9. Lambda Intro (Anonymous Functions).mp4 |
7.26Мб |
| 9. Lambda Intro (Anonymous Functions).srt |
3.26Кб |
| 9. List Comp as an Alternative to Loops.mp4 |
14.63Мб |
| 9. List Comp as an Alternative to Loops.srt |
4.75Кб |
| 9. Reduced Row Echelon Form.mp4 |
15.91Мб |
| 9. Reduced Row Echelon Form.srt |
4.43Кб |
| 9. Summary Functions.mp4 |
16.48Мб |
| 9. Summary Functions.srt |
3.73Кб |
| 90 |
528.80Кб |
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725.93Кб |
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732.71Кб |
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892.73Кб |
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43.15Кб |
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196.58Кб |
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| TutsNode.com.txt |
63б |