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Data Science 101 Methodology, Python, and Essential Math
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[TutsNode.com] - Data Science 101 Methodology, Python, and Essential Math (Size: 5.19 GB) (Files: 544)
[TutsNode.com] - Data Science 101 Methodology, Python, and Essential Math
3. Data Science Methodology
6. Evaluation.mp4
6. Evaluation.srt
4. Data Prep.srt
5. Modeling.srt
7. Deployment.srt
1. Data Science MethodologyProcess Intro.srt
4. Data Prep.mp4
3. Data Understanding.srt
2. Business Understanding.srt
7. Deployment.mp4
5. Modeling.mp4
1. Data Science MethodologyProcess Intro.mp4
3. Data Understanding.mp4
2. Business Understanding.mp4
12. Nested Data, Nested Iteration and List Comprehension
13.1 Fill+in+Activity+(Nested+and+List+Comprehension)+(1) (1).rar
5. List of Dicts and Dicts of Dicts Example.srt
7. Defining List Comprehension and Syntax.srt
11. PracticalReal World Example - Creating a Constrained ID.srt
2. Simple Nested Example.srt
12. Activity Building Intuition (Loops, Nested Data, Iteration and List Comp).srt
6. Nested Iteration - Iterating through List of Lists.srt
9. List Comp as an Alternative to Loops.srt
3. Double Indexing.srt
8. List Comprehension - Simple Examples.srt
1. Introducing you to Nested Data and Iteration.srt
4. Assigning Values.srt
10. PracticalReal World Example - Using Common Mathematical Notation.srt
13. Fill in Activity 3 - Nesting and List Comp.html
5. List of Dicts and Dicts of Dicts Example.mp4
12. Activity Building Intuition (Loops, Nested Data, Iteration and List Comp).mp4
11. PracticalReal World Example - Creating a Constrained ID.mp4
6. Nested Iteration - Iterating through List of Lists.mp4
2. Simple Nested Example.mp4
3. Double Indexing.mp4
7. Defining List Comprehension and Syntax.mp4
8. List Comprehension - Simple Examples.mp4
9. List Comp as an Alternative to Loops.mp4
10. PracticalReal World Example - Using Common Mathematical Notation.mp4
1. Introducing you to Nested Data and Iteration.mp4
4. Assigning Values.mp4
11. Functions
11.1 Fill+in+Activity+(Looping+&+Functions) (1).rar
8. PracticalReal World Example Function to Get Reddit Data.srt
7. Defining a Function vs. Calling a Function (including different ways to call).srt
10. Formal Function vs. Lambda for splitting strings.srt
1. Introducing Functions.srt
6. Optional Return Statement (and comparing it to Print Statement).srt
2. Functions - General Syntax.srt
5. Celsius to Fahrenheit Function.srt
11. Fill in Activity 2 - Looping and Functions.html
4. Fav Band Function.srt
3. +1 Function.srt
9. Lambda Intro (Anonymous Functions).srt
8. PracticalReal World Example Function to Get Reddit Data.mp4
7. Defining a Function vs. Calling a Function (including different ways to call).mp4
10. Formal Function vs. Lambda for splitting strings.mp4
6. Optional Return Statement (and comparing it to Print Statement).mp4
2. Functions - General Syntax.mp4
4. Fav Band Function.mp4
5. Celsius to Fahrenheit Function.mp4
3. +1 Function.mp4
9. Lambda Intro (Anonymous Functions).mp4
1. Introducing Functions.mp4
9. Python for Data Science and Machine Learning Fundamentals
14.1 Fill+in+Activity+(Fundamentals) (1).rar
7. Lists - How To Use.srt
13. Operators.srt
9. Creating A Tuple.srt
6. Main Data Types and Creating Them (Integer, Float, String, List, Dictionary).srt
10. Tuple - How To Use.srt
1. How to Use Markdown Cells (Adding Headers, Links, and Images).srt
2. Comments - Inline and Block Comments.srt
4. Writing Single and Multiple Lines of Code.srt
5. Understanding Variables.srt
11. Creating a Set.srt
8. Dictionaries - How To Use.srt
14. Fill in Activity 1 - Fundamentals.html
3. Python Indentation.srt
12. Set - How To Use.srt
7. Lists - How To Use.mp4
13. Operators.mp4
10. Tuple - How To Use.mp4
8. Dictionaries - How To Use.mp4
6. Main Data Types and Creating Them (Integer, Float, String, List, Dictionary).mp4
2. Comments - Inline and Block Comments.mp4
3. Python Indentation.mp4
12. Set - How To Use.mp4
4. Writing Single and Multiple Lines of Code.mp4
5. Understanding Variables.mp4
11. Creating a Set.mp4
1. How to Use Markdown Cells (Adding Headers, Links, and Images).mp4
9. Creating A Tuple.mp4
1. Intro to Data Science 101
2. What a Data Scientist Does.srt
3. Big Data.srt
6. Advice to Data Scientists.srt
4. Data Mining.srt
5. Machine Learning vs. Deep Learning.srt
1. Intro to Data Science.srt
6. Advice to Data Scientists.mp4
4. Data Mining.mp4
5. Machine Learning vs. Deep Learning.mp4
1. Intro to Data Science.mp4
3. Big Data.mp4
2. What a Data Scientist Does.mp4
14. Pandas
16. Concat Function + Pop Quiz.srt
4. Comparing Series and DataFrame.srt
2. For SAS Programmers Analogous Terms in Pandas (Python).srt
13. Dealing with Missing Values.srt
8. Conditional Selection.srt
7. Label Based Selection (loc).srt
15. Renaming ColumnsVariables and RecordsRows.srt
3. Using Series as Input into DataFrame.srt
17. Real World Activity Add New Columns and Predict Stock Movement.srt
12. Checking Data Types and Converting.srt
10. Grouping (groupby).srt
9. Summary Functions.srt
14. Dropping ColumnsVariables and RecordsRows.srt
6. Index Based Selection (iloc).srt
5. Importing TSLA Dataset.srt
11. Sorting.srt
1. Introducing Pandas.srt
16. Concat Function + Pop Quiz.mp4
13. Dealing with Missing Values.mp4
2. For SAS Programmers Analogous Terms in Pandas (Python).mp4
17. Real World Activity Add New Columns and Predict Stock Movement.mp4
4. Comparing Series and DataFrame.mp4
8. Conditional Selection.mp4
14. Dropping ColumnsVariables and RecordsRows.mp4
15. Renaming ColumnsVariables and RecordsRows.mp4
7. Label Based Selection (loc).mp4
9. Summary Functions.mp4
12. Checking Data Types and Converting.mp4
5. Importing TSLA Dataset.mp4
10. Grouping (groupby).mp4
3. Using Series as Input into DataFrame.mp4
11. Sorting.mp4
6. Index Based Selection (iloc).mp4
1. Introducing Pandas.mp4
15. Python Activity Solutions
2. Solution - Fill in Activity - Looping and Functions.srt
4. Solution - Fill in Activity - Numpy.srt
1. Solution - Fill in Activity - Fundamentals.srt
3. Solution - Fill in Activity - Nested and List Comprehension.srt
2. Solution - Fill in Activity - Looping and Functions.mp4
4. Solution - Fill in Activity - Numpy.mp4
1. Solution - Fill in Activity - Fundamentals.mp4
3. Solution - Fill in Activity - Nested and List Comprehension.mp4
19. Essential Math for Data Science - Random Variables and Multiple Variables
10. Covariance, Correlation and More on Variance.srt
8. Joint PDF Example - Banking.srt
9. Cumulative Distribution Function (CDF).srt
12. Central Limit Theorem (CLT).srt
2. Probability Mass Function and Discrete R.V's.srt
1. Random Variables.srt
3. Expectation and Variance for Discrete Random Variables.srt
7. Continuous R.V. Example.srt
11. Law of Large Numbers (LLN).srt
4. Joint PMF's (Multiple Discrete Variables).srt
5. Continuous Random Variables.srt
6. Continuous Random Variables and Probability Density Function.srt
10. Covariance, Correlation and More on Variance.mp4
8. Joint PDF Example - Banking.mp4
9. Cumulative Distribution Function (CDF).mp4
12. Central Limit Theorem (CLT).mp4
7. Continuous R.V. Example.mp4
1. Random Variables.mp4
3. Expectation and Variance for Discrete Random Variables.mp4
2. Probability Mass Function and Discrete R.V's.mp4
5. Continuous Random Variables.mp4
11. Law of Large Numbers (LLN).mp4
6. Continuous Random Variables and Probability Density Function.mp4
4. Joint PMF's (Multiple Discrete Variables).mp4
18. Essential Math for Data Science - Intro to Probability
6. Conditional Healthcare (Cancer) Example 2.srt
8. Permutations and Combinations.srt
7. Independence of Events (what it means and doesn't mean).srt
1. Probability Models and Axioms.srt
3. Discrete Example.srt
2. Simple Counting.srt
5. Conditional Example 1.srt
4. Conditional Bayes.srt
6. Conditional Healthcare (Cancer) Example 2.mp4
3. Discrete Example.mp4
7. Independence of Events (what it means and doesn't mean).mp4
8. Permutations and Combinations.mp4
1. Probability Models and Axioms.mp4
5. Conditional Example 1.mp4
4. Conditional Bayes.mp4
2. Simple Counting.mp4
17. Essential Math for Data Science - Mathematical Structures
15. Orthogonal Projection - One Method for Least Squares.srt
1. Mathematical Structures.srt
10. Dim of C(A) and N(A).srt
12. Linear Maps.srt
13. Four Fundamental Subspaces.srt
5. Subspaces.srt
6. Linear Combinations and Span.srt
4. Vector Spaces - Concrete Example.srt
7. Is it in the Span.srt
8. Linear Independence.srt
9. A Basis for a Vector Space.srt
3. Vector Spaces 1.srt
16. Least Squares.srt
2. Abelian Groups and Fields.srt
11. The Dimension of a Vector Space.srt
14. Adding Geometry to Vector Spaces.srt
1. Mathematical Structures.mp4
10. Dim of C(A) and N(A).mp4
15. Orthogonal Projection - One Method for Least Squares.mp4
13. Four Fundamental Subspaces.mp4
12. Linear Maps.mp4
5. Subspaces.mp4
4. Vector Spaces - Concrete Example.mp4
6. Linear Combinations and Span.mp4
3. Vector Spaces 1.mp4
9. A Basis for a Vector Space.mp4
8. Linear Independence.mp4
7. Is it in the Span.mp4
16. Least Squares.mp4
2. Abelian Groups and Fields.mp4
11. The Dimension of a Vector Space.mp4
14. Adding Geometry to Vector Spaces.mp4
2. Best Language for Data Science
2. Python.srt
4. R.srt
5. SQL.srt
3. SAS.srt
1. What IS the best language for Data Science.srt
5. SQL.mp4
3. SAS.mp4
4. R.mp4
1. What IS the best language for Data Science.mp4
2. Python.mp4
4. Data Science Via Chatbot
5. Intents.srt
6. Entities.srt
1. Purpose of Chatbot Section.srt
3. Signing up for Watson Assistant.srt
8. Section Recap Natural Language Processing , Machine Learning, and Use Cases.srt
4. Creating a name - Healthcare Service Chatbot.srt
2. What is a Chatbot.srt
7. Suggestions for More Learning.srt
1. Purpose of Chatbot Section.mp4
8. Section Recap Natural Language Processing , Machine Learning, and Use Cases.mp4
2. What is a Chatbot.mp4
6. Entities.mp4
5. Intents.mp4
4. Creating a name - Healthcare Service Chatbot.mp4
3. Signing up for Watson Assistant.mp4
7. Suggestions for More Learning.mp4
16. Essential Math for Data Science - Linear Algebra Intro
13. General Formula - Matrix Vector Multiplication.srt
11. Row Operations Example (REF).srt
8. Row Echelon Form (Gaussian Elimination).srt
14. Tips for Row Operations.srt
7. System in Corresponding Forms.srt
1. Linear Equation Definition.srt
6. System of Equations as a Matrix.srt
10. Row Operations Rules.srt
5. Aij Notation.srt
9. Reduced Row Echelon Form.srt
2. Forms of a Linear Equation.srt
3. Systems of Linear Equations.srt
12. Visualizing Ax=b.srt
4. Line and Plane.srt
11. Row Operations Example (REF).mp4
7. System in Corresponding Forms.mp4
8. Row Echelon Form (Gaussian Elimination).mp4
13. General Formula - Matrix Vector Multiplication.mp4
5. Aij Notation.mp4
14. Tips for Row Operations.mp4
9. Reduced Row Echelon Form.mp4
6. System of Equations as a Matrix.mp4
10. Row Operations Rules.mp4
2. Forms of a Linear Equation.mp4
1. Linear Equation Definition.mp4
12. Visualizing Ax=b.mp4
4. Line and Plane.mp4
3. Systems of Linear Equations.mp4
8. InstallationJupyterComments (Windows and MacOSJupyter Notebook)
8. Jupyter Notebook Interface and Shortcuts.srt
1. Windows - Download Anaconda Distribution (includes Python!).srt
4. Windows - Opening Jupyter Notebook.srt
7. MacOS - Jupyter Notebook.srt
6. MacOS - Conda Environment.srt
2. Windows - Install Anaconda Distribution.srt
3. Windows - Setting Up Environment.srt
5. MacOS - Anaconda Download and Install.srt
5. MacOS - Anaconda Download and Install.mp4
6. MacOS - Conda Environment.mp4
2. Windows - Install Anaconda Distribution.mp4
8. Jupyter Notebook Interface and Shortcuts.mp4
7. MacOS - Jupyter Notebook.mp4
3. Windows - Setting Up Environment.mp4
1. Windows - Download Anaconda Distribution (includes Python!).mp4
4. Windows - Opening Jupyter Notebook.mp4
20. Essential Math for Data Science - Statistical Inference
1. Statistical Inference.srt
3. Example - Bayesian Estimator.srt
4. Mean Squared Error = Variance. Why.srt
2. Bayesian Estimator.srt
1. Statistical Inference.mp4
3. Example - Bayesian Estimator.mp4
4. Mean Squared Error = Variance. Why.mp4
2. Bayesian Estimator.mp4
13. Learn Numpy
12. Insert Elements.srt
16. Concatenate.srt
10. Delete Elements.srt
13. Reshape -1 Feature.srt
7. Numpy Indexing.srt
9. Indexing and Slicing with Breast Cancer Wisconsin Data-set.srt
5. Element-Wise Operations.srt
17. Splitting.srt
3. Shaping An Array (when you know the shape you want).srt
2. Creating our first Numpy Array.srt
18. AggregateStatistical Functions.srt
1. Introducing Numpy.srt
8. Numpy Slicing.srt
11. Append.srt
15. Transpose.srt
14. Flatten.srt
4. Creating a Sequence of Integers and Floats.srt
6. A Range with a Shape (arange function with reshape function).srt
19.1 Numpy+Fill-In+Activity (1).rar
19. Fill in Activity - Numpy.html
16. Concatenate.mp4
12. Insert Elements.mp4
9. Indexing and Slicing with Breast Cancer Wisconsin Data-set.mp4
10. Delete Elements.mp4
13. Reshape -1 Feature.mp4
17. Splitting.mp4
3. Shaping An Array (when you know the shape you want).mp4
5. Element-Wise Operations.mp4
7. Numpy Indexing.mp4
11. Append.mp4
18. AggregateStatistical Functions.mp4
14. Flatten.mp4
2. Creating our first Numpy Array.mp4
15. Transpose.mp4
1. Introducing Numpy.mp4
6. A Range with a Shape (arange function with reshape function).mp4
8. Numpy Slicing.mp4
4. Creating a Sequence of Integers and Floats.mp4
5. Libraries, API's, Datasets
3. Datasets.srt
1. Libraries.srt
2. API's.srt
3. Datasets.mp4
1. Libraries.mp4
2. API's.mp4
6. Github
3. Creating Branch and Commit Changes.srt
4. Pull Request and Merging Pull Request.srt
2. Create a Repository.srt
1. Intro to Github.srt
1. Intro to Github.mp4
3. Creating Branch and Commit Changes.mp4
4. Pull Request and Merging Pull Request.mp4
2. Create a Repository.mp4
7. Introduction to Python for Data Science and Machine Learning Bootcamp
2. OptionsFeatures When Watching Videos.srt
1. Welcome to the Python for Data Science and Machine Learning Section.html
3. Resources (Data-sets and Notebooks).html
2. OptionsFeatures When Watching Videos.mp4
3.1 NotebooksandDataSets.rar
10. Decision and Looping Structures
6. While Loop.srt
4. Elif.srt
2. If statement.srt
7. Break and Continue Statements.srt
1. Introducing Decision and Looping Structures.srt
3. Else Statement.srt
5. For Loop.srt
7. Break and Continue Statements.mp4
2. If statement.mp4
6. While Loop.mp4
3. Else Statement.mp4
1. Introducing Decision and Looping Structures.mp4
4. Elif.mp4
5. For Loop.mp4
TutsNode.com.txt
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