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1. Data Science MethodologyProcess Intro.mp4 |
131.71MB |
1. Data Science MethodologyProcess Intro.srt |
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1. How to Use Markdown Cells (Adding Headers, Links, and Images).mp4 |
5.78MB |
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 |
44.64MB |
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1. Probability Models and Axioms.mp4 |
26.86MB |
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1. Purpose of Chatbot Section.mp4 |
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1. Random Variables.mp4 |
13.81MB |
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1. Solution - Fill in Activity - Fundamentals.mp4 |
46.48MB |
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1. Statistical Inference.mp4 |
29.75MB |
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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. What IS the best language for Data Science.srt |
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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. Covariance, Correlation and More on Variance.srt |
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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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10. Row Operations Rules.mp4 |
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10. Tuple - How To Use.mp4 |
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11.1 Fill+in+Activity+(Looping+&+Functions) (1).rar |
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11. Append.mp4 |
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11. Append.srt |
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11. Creating a Set.mp4 |
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11. Creating a Set.srt |
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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. Law of Large Numbers (LLN).srt |
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11. PracticalReal World Example - Creating a Constrained ID.mp4 |
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11. Sorting.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. Set - How To Use.mp4 |
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12. Visualizing Ax=b.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. Dealing with Missing Values.srt |
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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. Four Fundamental Subspaces.srt |
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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. 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. Concatenate.srt |
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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. Splitting.mp4 |
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18. AggregateStatistical Functions.mp4 |
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18. AggregateStatistical Functions.srt |
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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. Bayesian Estimator.srt |
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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. 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 |
11.78MB |
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. OptionsFeatures When Watching Videos.srt |
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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 |
36.98MB |
2. Python.srt |
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2. Simple Counting.mp4 |
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2. Simple Nested Example.mp4 |
16.96MB |
2. Simple Nested Example.srt |
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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 |
43.74MB |
2. What a Data Scientist Does.srt |
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2. What is a Chatbot.mp4 |
60.65MB |
2. What is a Chatbot.srt |
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2. Windows - Install Anaconda Distribution.mp4 |
29.38MB |
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3. +1 Function.mp4 |
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3. +1 Function.srt |
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3.1 NotebooksandDataSets.rar |
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3. Big Data.mp4 |
48.30MB |
3. Big Data.srt |
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3. Creating Branch and Commit Changes.mp4 |
32.76MB |
3. Creating Branch and Commit Changes.srt |
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3. Datasets.mp4 |
128.17MB |
3. Datasets.srt |
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3. Data Understanding.mp4 |
115.64MB |
3. Data Understanding.srt |
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3. Discrete Example.mp4 |
29.80MB |
3. Discrete Example.srt |
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3. Double Indexing.mp4 |
16.81MB |
3. Double Indexing.srt |
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3. Else Statement.mp4 |
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3. Else Statement.srt |
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3. Example - Bayesian Estimator.mp4 |
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3. Example - Bayesian Estimator.srt |
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3. Expectation and Variance for Discrete Random Variables.mp4 |
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3. Expectation and Variance for Discrete Random Variables.srt |
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3. Python Indentation.mp4 |
10.14MB |
3. Python Indentation.srt |
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3. Resources (Data-sets and Notebooks).html |
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3. SAS.mp4 |
52.29MB |
3. SAS.srt |
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3. Shaping An Array (when you know the shape you want).mp4 |
18.17MB |
3. Shaping An Array (when you know the shape you want).srt |
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3. Signing up for Watson Assistant.mp4 |
12.73MB |
3. Signing up for Watson Assistant.srt |
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3. Solution - Fill in Activity - Nested and List Comprehension.mp4 |
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3. Solution - Fill in Activity - Nested and List Comprehension.srt |
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3. Systems of Linear Equations.mp4 |
9.11MB |
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3. Using Series as Input into DataFrame.mp4 |
11.03MB |
3. Using Series as Input into DataFrame.srt |
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3. Vector Spaces 1.mp4 |
14.96MB |
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3. Windows - Setting Up Environment.mp4 |
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4. Assigning Values.mp4 |
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4. Comparing Series and DataFrame.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 name - Healthcare Service Chatbot.srt |
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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. Data Prep.mp4 |
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4. Elif.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. Solution - Fill in Activity - Numpy.mp4 |
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4. Vector Spaces - Concrete Example.mp4 |
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4. Vector Spaces - Concrete Example.srt |
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4. Windows - Opening Jupyter Notebook.mp4 |
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4. Windows - Opening Jupyter Notebook.srt |
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4. Writing Single and Multiple Lines of Code.mp4 |
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5. Conditional Example 1.mp4 |
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5. Continuous Random Variables.mp4 |
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5. Element-Wise Operations.mp4 |
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5. For Loop.mp4 |
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5. Importing TSLA Dataset.mp4 |
14.54MB |
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5. Intents.mp4 |
27.51MB |
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5. List of Dicts and Dicts of Dicts Example.mp4 |
31.59MB |
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5. Machine Learning vs. Deep Learning.mp4 |
78.70MB |
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5. MacOS - Anaconda Download and Install.mp4 |
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5. Modeling.mp4 |
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5. SQL.mp4 |
54.74MB |
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5. Subspaces.mp4 |
19.63MB |
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5. Understanding Variables.mp4 |
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6. Advice to Data Scientists.mp4 |
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6. A Range with a Shape (arange function with reshape function).mp4 |
8.05MB |
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6. Conditional Healthcare (Cancer) Example 2.mp4 |
61.77MB |
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6. Continuous Random Variables and Probability Density Function.mp4 |
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6. Entities.mp4 |
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6. Evaluation.mp4 |
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6. Linear Combinations and Span.mp4 |
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6. MacOS - Conda Environment.mp4 |
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6. Main Data Types and Creating Them (Integer, Float, String, List, Dictionary).mp4 |
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6. Nested Iteration - Iterating through List of Lists.mp4 |
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14.46MB |
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6. System of Equations as a Matrix.mp4 |
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7. Continuous R.V. Example.mp4 |
13.88MB |
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7. Defining a Function vs. Calling a Function (including different ways to call).mp4 |
39.09MB |
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14.68KB |
7. Defining List Comprehension and Syntax.mp4 |
15.40MB |
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7. Deployment.mp4 |
148.95MB |
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7. Independence of Events (what it means and doesn't mean).mp4 |
27.94MB |
7. Independence of Events (what it means and doesn't mean).srt |
9.75KB |
7. Is it in the Span.mp4 |
11.40MB |
7. Is it in the Span.srt |
4.08KB |
7. Label Based Selection (loc).mp4 |
17.56MB |
7. Label Based Selection (loc).srt |
5.01KB |
7. Lists - How To Use.mp4 |
40.33MB |
7. Lists - How To Use.srt |
11.66KB |
7. MacOS - Jupyter Notebook.mp4 |
18.93MB |
7. MacOS - Jupyter Notebook.srt |
2.69KB |
7. Numpy Indexing.mp4 |
15.09MB |
7. Numpy Indexing.srt |
5.80KB |
7. Suggestions for More Learning.mp4 |
11.53MB |
7. Suggestions for More Learning.srt |
3.06KB |
7. System in Corresponding Forms.mp4 |
28.91MB |
7. System in Corresponding Forms.srt |
7.37KB |
70 |
148.45KB |
71 |
391.80KB |
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814.05KB |
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326.48KB |
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850.55KB |
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165.28KB |
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817.01KB |
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913.82KB |
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915.02KB |
79 |
313.42KB |
8 |
368.44KB |
8. Conditional Selection.mp4 |
26.20MB |
8. Conditional Selection.srt |
5.86KB |
8. Dictionaries - How To Use.mp4 |
17.28MB |
8. Dictionaries - How To Use.srt |
4.51KB |
8. Joint PDF Example - Banking.mp4 |
43.65MB |
8. Joint PDF Example - Banking.srt |
10.87KB |
8. Jupyter Notebook Interface and Shortcuts.mp4 |
24.30MB |
8. Jupyter Notebook Interface and Shortcuts.srt |
9.38KB |
8. Linear Independence.mp4 |
11.66MB |
8. Linear Independence.srt |
3.99KB |
8. List Comprehension - Simple Examples.mp4 |
14.76MB |
8. List Comprehension - Simple Examples.srt |
4.10KB |
8. Numpy Slicing.mp4 |
7.64MB |
8. Numpy Slicing.srt |
3.05KB |
8. Permutations and Combinations.mp4 |
27.02MB |
8. Permutations and Combinations.srt |
10.61KB |
8. PracticalReal World Example Function to Get Reddit Data.mp4 |
62.08MB |
8. PracticalReal World Example Function to Get Reddit Data.srt |
16.99KB |
8. Row Echelon Form (Gaussian Elimination).mp4 |
27.39MB |
8. Row Echelon Form (Gaussian Elimination).srt |
7.75KB |
8. Section Recap Natural Language Processing , Machine Learning, and Use Cases.mp4 |
118.13MB |
8. Section Recap Natural Language Processing , Machine Learning, and Use Cases.srt |
7.10KB |
80 |
381.56KB |
81 |
604.20KB |
82 |
712.37KB |
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69.26KB |
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204.13KB |
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840.31KB |
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846.31KB |
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71.83KB |
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326.29KB |
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452.43KB |
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380.78KB |
9. A Basis for a Vector Space.mp4 |
13.48MB |
9. A Basis for a Vector Space.srt |
3.97KB |
9. Creating A Tuple.mp4 |
2.35MB |
9. Creating A Tuple.srt |
1.21KB |
9. Cumulative Distribution Function (CDF).mp4 |
17.93MB |
9. Cumulative Distribution Function (CDF).srt |
6.35KB |
9. Indexing and Slicing with Breast Cancer Wisconsin Data-set.mp4 |
27.53MB |
9. Indexing and Slicing with Breast Cancer Wisconsin Data-set.srt |
5.34KB |
9. Lambda Intro (Anonymous Functions).mp4 |
7.26MB |
9. Lambda Intro (Anonymous Functions).srt |
3.26KB |
9. List Comp as an Alternative to Loops.mp4 |
14.63MB |
9. List Comp as an Alternative to Loops.srt |
4.75KB |
9. Reduced Row Echelon Form.mp4 |
15.91MB |
9. Reduced Row Echelon Form.srt |
4.43KB |
9. Summary Functions.mp4 |
16.48MB |
9. Summary Functions.srt |
3.73KB |
90 |
528.80KB |
91 |
725.93KB |
92 |
732.71KB |
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892.73KB |
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43.15KB |
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196.58KB |
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254.02KB |
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531.56KB |
98 |
87.68KB |
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136.09KB |
TutsNode.com.txt |
63B |