Data Science 101 Methodology Python and Essential Math | 39D8337AA9F371BE386ECFF88D1C0C6095BAA2D1

Data Science 101 Methodology Python and Essential Math

Name	Data Science 101 Methodology, Python, and Essential Math	DOWNLOAD Copy Link Trouble downloading? see How To
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Total Files	544
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/.../3. Data Science Methodology/
6. Evaluation.mp4	195.5 MB

TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../12. Nested Data, Nested Iteration and List Comprehension/
13.1 Fill+in+Activity+(Nested+and+List+Comprehension)+(1) (1).rar	52.2 KB
5. List of Dicts and Dicts of Dicts Example.srt	7.1 KB
7. Defining List Comprehension and Syntax.srt	6.3 KB
11. PracticalReal World Example - Creating a Constrained ID.srt	5.8 KB
2. Simple Nested Example.srt	5.4 KB
12. Activity Building Intuition (Loops, Nested Data, Iteration and List Comp).srt	5.2 KB
6. Nested Iteration - Iterating through List of Lists.srt	4.9 KB
9. List Comp as an Alternative to Loops.srt	4.9 KB
3. Double Indexing.srt	4.4 KB
8. List Comprehension - Simple Examples.srt	4.2 KB
1. Introducing you to Nested Data and Iteration.srt	2.3 KB
4. Assigning Values.srt	2.5 KB
10. PracticalReal World Example - Using Common Mathematical Notation.srt	3.3 KB
13. Fill in Activity 3 - Nesting and List Comp.html	0.1 KB
5. List of Dicts and Dicts of Dicts Example.mp4	33.1 MB
12. Activity Building Intuition (Loops, Nested Data, Iteration and List Comp).mp4	25.0 MB
11. PracticalReal World Example - Creating a Constrained ID.mp4	24.3 MB
6. Nested Iteration - Iterating through List of Lists.mp4	19.1 MB
2. Simple Nested Example.mp4	17.8 MB
3. Double Indexing.mp4	17.6 MB
7. Defining List Comprehension and Syntax.mp4	16.1 MB
8. List Comprehension - Simple Examples.mp4	15.5 MB
9. List Comp as an Alternative to Loops.mp4	15.3 MB
10. PracticalReal World Example - Using Common Mathematical Notation.mp4	14.2 MB
1. Introducing you to Nested Data and Iteration.mp4	6.1 MB
4. Assigning Values.mp4	4.2 MB
/11. Functions/
11.1 Fill+in+Activity+(Looping+&+Functions) (1).rar	43.4 KB
8. PracticalReal World Example Function to Get Reddit Data.srt	17.4 KB
7. Defining a Function vs. Calling a Function (including different ways to call).srt	15.0 KB
10. Formal Function vs. Lambda for splitting strings.srt	6.3 KB
1. Introducing Functions.srt	5.8 KB
6. Optional Return Statement (and comparing it to Print Statement).srt	5.6 KB
2. Functions - General Syntax.srt	5.4 KB
5. Celsius to Fahrenheit Function.srt	4.2 KB
11. Fill in Activity 2 - Looping and Functions.html	0.1 KB
4. Fav Band Function.srt	3.5 KB
3. +1 Function.srt	3.3 KB
9. Lambda Intro (Anonymous Functions).srt	3.3 KB
8. PracticalReal World Example Function to Get Reddit Data.mp4	65.1 MB
7. Defining a Function vs. Calling a Function (including different ways to call).mp4	41.0 MB
10. Formal Function vs. Lambda for splitting strings.mp4	24.8 MB
6. Optional Return Statement (and comparing it to Print Statement).mp4	15.2 MB
2. Functions - General Syntax.mp4	11.8 MB
4. Fav Band Function.mp4	11.4 MB
5. Celsius to Fahrenheit Function.mp4	10.8 MB
3. +1 Function.mp4	8.4 MB
9. Lambda Intro (Anonymous Functions).mp4	7.6 MB
1. Introducing Functions.mp4	7.6 MB
/.../9. Python for Data Science and Machine Learning Fundamentals/
14.1 Fill+in+Activity+(Fundamentals) (1).rar	42.9 KB
7. Lists - How To Use.srt	11.9 KB
13. Operators.srt	11.9 KB
9. Creating A Tuple.srt	1.2 KB
6. Main Data Types and Creating Them (Integer, Float, String, List, Dictionary).srt	6.3 KB
10. Tuple - How To Use.srt	6.0 KB
1. How to Use Markdown Cells (Adding Headers, Links, and Images).srt	2.3 KB
2. Comments - Inline and Block Comments.srt	5.1 KB
4. Writing Single and Multiple Lines of Code.srt	2.9 KB
5. Understanding Variables.srt	2.4 KB
11. Creating a Set.srt	2.5 KB
8. Dictionaries - How To Use.srt	4.6 KB
14. Fill in Activity 1 - Fundamentals.html	0.1 KB
3. Python Indentation.srt	3.8 KB
12. Set - How To Use.srt	3.5 KB
7. Lists - How To Use.mp4	42.3 MB
13. Operators.mp4	37.7 MB
10. Tuple - How To Use.mp4	25.1 MB
8. Dictionaries - How To Use.mp4	18.1 MB
6. Main Data Types and Creating Them (Integer, Float, String, List, Dictionary).mp4	18.0 MB
2. Comments - Inline and Block Comments.mp4	16.5 MB
3. Python Indentation.mp4	10.6 MB
12. Set - How To Use.mp4	10.1 MB
4. Writing Single and Multiple Lines of Code.mp4	9.4 MB
5. Understanding Variables.mp4	6.8 MB
11. Creating a Set.mp4	6.7 MB
1. How to Use Markdown Cells (Adding Headers, Links, and Images).mp4	6.1 MB
9. Creating A Tuple.mp4	2.5 MB
/.../1. Intro to Data Science 101/
2. What a Data Scientist Does.srt	2.3 KB
3. Big Data.srt	2.4 KB
6. Advice to Data Scientists.srt	5.8 KB
4. Data Mining.srt	4.7 KB
5. Machine Learning vs. Deep Learning.srt	4.5 KB
1. Intro to Data Science.srt	3.1 KB
6. Advice to Data Scientists.mp4	94.2 MB
4. Data Mining.mp4	87.5 MB
5. Machine Learning vs. Deep Learning.mp4	82.5 MB
1. Intro to Data Science.mp4	58.8 MB
3. Big Data.mp4	50.6 MB
2. What a Data Scientist Does.mp4	45.9 MB
/14. Pandas/
16. Concat Function + Pop Quiz.srt	15.0 KB
4. Comparing Series and DataFrame.srt	8.2 KB
2. For SAS Programmers Analogous Terms in Pandas (Python).srt	7.9 KB
13. Dealing with Missing Values.srt	7.8 KB
8. Conditional Selection.srt	6.0 KB
7. Label Based Selection (loc).srt	5.1 KB
15. Renaming ColumnsVariables and RecordsRows.srt	4.5 KB
3. Using Series as Input into DataFrame.srt	4.5 KB
17. Real World Activity Add New Columns and Predict Stock Movement.srt	4.5 KB
12. Checking Data Types and Converting.srt	4.2 KB
10. Grouping (groupby).srt	4.1 KB
9. Summary Functions.srt	3.8 KB
14. Dropping ColumnsVariables and RecordsRows.srt	3.8 KB
6. Index Based Selection (iloc).srt	3.2 KB
5. Importing TSLA Dataset.srt	3.1 KB
11. Sorting.srt	2.6 KB
1. Introducing Pandas.srt	1.9 KB
16. Concat Function + Pop Quiz.mp4	64.4 MB
13. Dealing with Missing Values.mp4	36.2 MB
2. For SAS Programmers Analogous Terms in Pandas (Python).mp4	32.9 MB
17. Real World Activity Add New Columns and Predict Stock Movement.mp4	30.7 MB
4. Comparing Series and DataFrame.mp4	28.0 MB
8. Conditional Selection.mp4	27.5 MB
14. Dropping ColumnsVariables and RecordsRows.mp4	22.7 MB
15. Renaming ColumnsVariables and RecordsRows.mp4	21.9 MB
7. Label Based Selection (loc).mp4	18.4 MB
9. Summary Functions.mp4	17.3 MB
12. Checking Data Types and Converting.mp4	16.4 MB
5. Importing TSLA Dataset.mp4	15.3 MB
10. Grouping (groupby).mp4	11.9 MB
3. Using Series as Input into DataFrame.mp4	11.6 MB
11. Sorting.mp4	10.8 MB
6. Index Based Selection (iloc).mp4	9.6 MB
1. Introducing Pandas.mp4	3.4 MB
/.../15. Python Activity Solutions/
2. Solution - Fill in Activity - Looping and Functions.srt	13.3 KB
4. Solution - Fill in Activity - Numpy.srt	11.4 KB
1. Solution - Fill in Activity - Fundamentals.srt	9.8 KB
3. Solution - Fill in Activity - Nested and List Comprehension.srt	4.3 KB
2. Solution - Fill in Activity - Looping and Functions.mp4	74.7 MB
4. Solution - Fill in Activity - Numpy.mp4	61.2 MB
1. Solution - Fill in Activity - Fundamentals.mp4	48.7 MB
3. Solution - Fill in Activity - Nested and List Comprehension.mp4	20.2 MB
/.../19. Essential Math for Data Science - Random Variables and Multiple Variables/
10. Covariance, Correlation and More on Variance.srt	12.9 KB
8. Joint PDF Example - Banking.srt	11.1 KB
9. Cumulative Distribution Function (CDF).srt	6.5 KB
12. Central Limit Theorem (CLT).srt	5.9 KB
2. Probability Mass Function and Discrete R.V's.srt	5.4 KB
1. Random Variables.srt	4.6 KB
3. Expectation and Variance for Discrete Random Variables.srt	4.5 KB
7. Continuous R.V. Example.srt	4.4 KB
11. Law of Large Numbers (LLN).srt	3.7 KB
4. Joint PMF's (Multiple Discrete Variables).srt	3.3 KB
5. Continuous Random Variables.srt	3.2 KB
6. Continuous Random Variables and Probability Density Function.srt	3.1 KB
10. Covariance, Correlation and More on Variance.mp4	48.6 MB
8. Joint PDF Example - Banking.mp4	45.8 MB
9. Cumulative Distribution Function (CDF).mp4	18.8 MB
12. Central Limit Theorem (CLT).mp4	16.6 MB
7. Continuous R.V. Example.mp4	14.6 MB
1. Random Variables.mp4	14.5 MB
3. Expectation and Variance for Discrete Random Variables.mp4	13.0 MB
2. Probability Mass Function and Discrete R.V's.mp4	12.0 MB
5. Continuous Random Variables.mp4	9.1 MB
11. Law of Large Numbers (LLN).mp4	8.1 MB
6. Continuous Random Variables and Probability Density Function.mp4	7.1 MB
4. Joint PMF's (Multiple Discrete Variables).mp4	7.0 MB
/.../18. Essential Math for Data Science - Intro to Probability/
6. Conditional Healthcare (Cancer) Example 2.srt	11.7 KB
8. Permutations and Combinations.srt	10.9 KB
7. Independence of Events (what it means and doesn't mean).srt	10.0 KB
1. Probability Models and Axioms.srt	9.3 KB
3. Discrete Example.srt	8.6 KB
2. Simple Counting.srt	3.8 KB
5. Conditional Example 1.srt	3.7 KB
4. Conditional Bayes.srt	3.5 KB
6. Conditional Healthcare (Cancer) Example 2.mp4	64.8 MB
3. Discrete Example.mp4	31.2 MB
7. Independence of Events (what it means and doesn't mean).mp4	29.3 MB
8. Permutations and Combinations.mp4	28.3 MB
1. Probability Models and Axioms.mp4	28.2 MB
5. Conditional Example 1.mp4	19.7 MB
4. Conditional Bayes.mp4	10.6 MB
2. Simple Counting.mp4	8.4 MB
/.../17. Essential Math for Data Science - Mathematical Structures/
15. Orthogonal Projection - One Method for Least Squares.srt	11.6 KB
1. Mathematical Structures.srt	10.6 KB
10. Dim of C(A) and N(A).srt	10.1 KB
12. Linear Maps.srt	7.1 KB
13. Four Fundamental Subspaces.srt	6.3 KB
5. Subspaces.srt	5.7 KB
6. Linear Combinations and Span.srt	5.4 KB
4. Vector Spaces - Concrete Example.srt	5.0 KB
7. Is it in the Span.srt	4.2 KB
8. Linear Independence.srt	4.1 KB
9. A Basis for a Vector Space.srt	4.1 KB
3. Vector Spaces 1.srt	3.9 KB
16. Least Squares.srt	3.9 KB
2. Abelian Groups and Fields.srt	2.5 KB
11. The Dimension of a Vector Space.srt	2.3 KB
14. Adding Geometry to Vector Spaces.srt	2.1 KB
1. Mathematical Structures.mp4	46.8 MB
10. Dim of C(A) and N(A).mp4	39.9 MB
15. Orthogonal Projection - One Method for Least Squares.mp4	31.8 MB
13. Four Fundamental Subspaces.mp4	25.7 MB
12. Linear Maps.mp4	25.1 MB
5. Subspaces.mp4	20.6 MB
4. Vector Spaces - Concrete Example.mp4	18.3 MB
6. Linear Combinations and Span.mp4	18.1 MB
3. Vector Spaces 1.mp4	15.7 MB
9. A Basis for a Vector Space.mp4	14.1 MB
8. Linear Independence.mp4	12.2 MB
7. Is it in the Span.mp4	12.0 MB
16. Least Squares.mp4	9.9 MB
2. Abelian Groups and Fields.mp4	7.0 MB
11. The Dimension of a Vector Space.mp4	6.3 MB
14. Adding Geometry to Vector Spaces.mp4	3.2 MB
/.../2. Best Language for Data Science/
2. Python.srt	2.8 KB
4. R.srt	3.0 KB
5. SQL.srt	4.5 KB
3. SAS.srt	4.3 KB
1. What IS the best language for Data Science.srt	3.2 KB
5. SQL.mp4	57.4 MB
3. SAS.mp4	54.8 MB
4. R.mp4	42.1 MB
1. What IS the best language for Data Science.mp4	41.7 MB
2. Python.mp4	38.8 MB
/.../3. Data Science Methodology/
6. Evaluation.srt	11.4 KB
4. Data Prep.srt	11.3 KB
5. Modeling.srt	9.0 KB
7. Deployment.srt	8.1 KB
1. Data Science MethodologyProcess Intro.srt	8.0 KB
4. Data Prep.mp4	175.6 MB
3. Data Understanding.srt	6.9 KB
2. Business Understanding.srt	6.9 KB
7. Deployment.mp4	156.2 MB
5. Modeling.mp4	152.4 MB
1. Data Science MethodologyProcess Intro.mp4	138.1 MB
3. Data Understanding.mp4	121.3 MB
2. Business Understanding.mp4	120.2 MB
/.../4. Data Science Via Chatbot/
5. Intents.srt	10.3 KB
6. Entities.srt	9.9 KB
1. Purpose of Chatbot Section.srt	9.7 KB
3. Signing up for Watson Assistant.srt	2.2 KB
8. Section Recap Natural Language Processing , Machine Learning, and Use Cases.srt	7.3 KB
4. Creating a name - Healthcare Service Chatbot.srt	5.0 KB
2. What is a Chatbot.srt	3.5 KB
7. Suggestions for More Learning.srt	3.1 KB
1. Purpose of Chatbot Section.mp4	160.7 MB
8. Section Recap Natural Language Processing , Machine Learning, and Use Cases.mp4	123.9 MB
2. What is a Chatbot.mp4	63.6 MB
6. Entities.mp4	32.0 MB
5. Intents.mp4	28.8 MB
4. Creating a name - Healthcare Service Chatbot.mp4	15.9 MB
3. Signing up for Watson Assistant.mp4	13.3 MB
7. Suggestions for More Learning.mp4	12.1 MB
/.../16. Essential Math for Data Science - Linear Algebra Intro/
13. General Formula - Matrix Vector Multiplication.srt	9.8 KB
11. Row Operations Example (REF).srt	9.0 KB
8. Row Echelon Form (Gaussian Elimination).srt	7.9 KB
14. Tips for Row Operations.srt	7.8 KB
7. System in Corresponding Forms.srt	7.5 KB
1. Linear Equation Definition.srt	5.3 KB
6. System of Equations as a Matrix.srt	5.3 KB
10. Row Operations Rules.srt	5.1 KB
5. Aij Notation.srt	5.0 KB
9. Reduced Row Echelon Form.srt	4.5 KB
2. Forms of a Linear Equation.srt	3.9 KB
3. Systems of Linear Equations.srt	3.1 KB
12. Visualizing Ax=b.srt	3.0 KB
4. Line and Plane.srt	2.9 KB
11. Row Operations Example (REF).mp4	33.1 MB
7. System in Corresponding Forms.mp4	30.3 MB
8. Row Echelon Form (Gaussian Elimination).mp4	28.7 MB
13. General Formula - Matrix Vector Multiplication.mp4	25.8 MB
5. Aij Notation.mp4	21.1 MB
14. Tips for Row Operations.mp4	20.7 MB
9. Reduced Row Echelon Form.mp4	16.7 MB
6. System of Equations as a Matrix.mp4	14.8 MB
10. Row Operations Rules.mp4	14.4 MB
2. Forms of a Linear Equation.mp4	12.3 MB
1. Linear Equation Definition.mp4	12.1 MB
12. Visualizing Ax=b.mp4	9.9 MB
4. Line and Plane.mp4	9.6 MB
3. Systems of Linear Equations.mp4	9.5 MB
/.../8. InstallationJupyterComments (Windows and MacOSJupyter Notebook)/
8. Jupyter Notebook Interface and Shortcuts.srt	9.6 KB
1. Windows - Download Anaconda Distribution (includes Python!).srt	2.6 KB
4. Windows - Opening Jupyter Notebook.srt	2.4 KB
7. MacOS - Jupyter Notebook.srt	2.8 KB
6. MacOS - Conda Environment.srt	5.1 KB
2. Windows - Install Anaconda Distribution.srt	5.1 KB
3. Windows - Setting Up Environment.srt	4.9 KB
5. MacOS - Anaconda Download and Install.srt	3.6 KB
5. MacOS - Anaconda Download and Install.mp4	57.1 MB
6. MacOS - Conda Environment.mp4	42.2 MB
2. Windows - Install Anaconda Distribution.mp4	30.8 MB
8. Jupyter Notebook Interface and Shortcuts.mp4	25.5 MB
7. MacOS - Jupyter Notebook.mp4	19.9 MB
3. Windows - Setting Up Environment.mp4	16.2 MB
1. Windows - Download Anaconda Distribution (includes Python!).mp4	14.9 MB
4. Windows - Opening Jupyter Notebook.mp4	4.5 MB
/.../20. Essential Math for Data Science - Statistical Inference/
1. Statistical Inference.srt	9.0 KB
3. Example - Bayesian Estimator.srt	8.9 KB
4. Mean Squared Error = Variance. Why.srt	3.7 KB
2. Bayesian Estimator.srt	3.2 KB
1. Statistical Inference.mp4	31.2 MB
3. Example - Bayesian Estimator.mp4	21.2 MB
4. Mean Squared Error = Variance. Why.mp4	17.6 MB
2. Bayesian Estimator.mp4	8.8 MB
/.../13. Learn Numpy/
12. Insert Elements.srt	8.9 KB
16. Concatenate.srt	7.1 KB
10. Delete Elements.srt	6.5 KB
13. Reshape -1 Feature.srt	6.0 KB
7. Numpy Indexing.srt	5.9 KB
9. Indexing and Slicing with Breast Cancer Wisconsin Data-set.srt	5.5 KB
5. Element-Wise Operations.srt	5.3 KB
17. Splitting.srt	5.1 KB
3. Shaping An Array (when you know the shape you want).srt	4.7 KB
2. Creating our first Numpy Array.srt	3.8 KB
18. AggregateStatistical Functions.srt	3.3 KB
1. Introducing Numpy.srt	3.2 KB
8. Numpy Slicing.srt	3.1 KB
11. Append.srt	3.0 KB
15. Transpose.srt	2.7 KB
14. Flatten.srt	2.6 KB
4. Creating a Sequence of Integers and Floats.srt	2.1 KB
6. A Range with a Shape (arange function with reshape function).srt	2.0 KB
19.1 Numpy+Fill-In+Activity (1).rar	0.8 KB
19. Fill in Activity - Numpy.html	0.1 KB
16. Concatenate.mp4	32.9 MB
12. Insert Elements.mp4	31.1 MB
9. Indexing and Slicing with Breast Cancer Wisconsin Data-set.mp4	28.9 MB
10. Delete Elements.mp4	27.1 MB
13. Reshape -1 Feature.mp4	22.2 MB
17. Splitting.mp4	20.4 MB
3. Shaping An Array (when you know the shape you want).mp4	19.1 MB
5. Element-Wise Operations.mp4	18.5 MB
7. Numpy Indexing.mp4	15.8 MB
11. Append.mp4	15.4 MB
18. AggregateStatistical Functions.mp4	15.4 MB
14. Flatten.mp4	10.6 MB
2. Creating our first Numpy Array.mp4	10.4 MB
15. Transpose.mp4	9.5 MB
1. Introducing Numpy.mp4	8.9 MB
6. A Range with a Shape (arange function with reshape function).mp4	8.4 MB
8. Numpy Slicing.mp4	8.0 MB
4. Creating a Sequence of Integers and Floats.mp4	7.4 MB
/.../5. Libraries, API's, Datasets/
3. Datasets.srt	8.4 KB
1. Libraries.srt	6.8 KB
2. API's.srt	4.1 KB
3. Datasets.mp4	134.4 MB
1. Libraries.mp4	106.6 MB
2. API's.mp4	21.1 MB
/6. Github/
3. Creating Branch and Commit Changes.srt	7.8 KB
4. Pull Request and Merging Pull Request.srt	6.8 KB
2. Create a Repository.srt	5.0 KB
1. Intro to Github.srt	3.3 KB
1. Intro to Github.mp4	42.0 MB
3. Creating Branch and Commit Changes.mp4	34.3 MB
4. Pull Request and Merging Pull Request.mp4	29.3 MB
2. Create a Repository.mp4	25.5 MB
/.../7. Introduction to Python for Data Science and Machine Learning Bootcamp/
2. OptionsFeatures When Watching Videos.srt	7.4 KB
1. Welcome to the Python for Data Science and Machine Learning Section.html	0.3 KB
3. Resources (Data-sets and Notebooks).html	0.1 KB
2. OptionsFeatures When Watching Videos.mp4	31.0 MB
3.1 NotebooksandDataSets.rar	12.2 MB
.pad/
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164	974.3 KB
165	193.2 KB
166	299.6 KB
167	350.3 KB
168	533.3 KB
169	613.0 KB
170	1.0 MB
171	145.3 KB
172	230.6 KB
173	759.1 KB
174	1.0 MB
175	796.9 KB
176	974.2 KB
/.../10. Decision and Looping Structures/
6. While Loop.srt	4.9 KB
4. Elif.srt	2.8 KB
2. If statement.srt	4.3 KB
7. Break and Continue Statements.srt	4.3 KB
1. Introducing Decision and Looping Structures.srt	3.7 KB
3. Else Statement.srt	3.5 KB
5. For Loop.srt	3.1 KB
7. Break and Continue Statements.mp4	13.1 MB
2. If statement.mp4	12.6 MB
6. While Loop.mp4	12.1 MB
3. Else Statement.mp4	9.8 MB
1. Introducing Decision and Looping Structures.mp4	9.0 MB
4. Elif.mp4	8.6 MB
5. For Loop.mp4	7.6 MB
Total files 544