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Title Data Science 101 Methodology, Python, and Essential Math
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Size 5.19GB

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[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 57B
1 10.56KB
1. Data Science MethodologyProcess Intro.mp4 131.71MB
1. Data Science MethodologyProcess Intro.srt 7.80KB
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 2.23KB
1. Introducing Decision and Looping Structures.mp4 8.58MB
1. Introducing Decision and Looping Structures.srt 3.63KB
1. Introducing Functions.mp4 7.24MB
1. Introducing Functions.srt 5.66KB
1. Introducing Numpy.mp4 8.48MB
1. Introducing Numpy.srt 3.12KB
1. Introducing Pandas.mp4 3.24MB
1. Introducing Pandas.srt 1.88KB
1. Introducing you to Nested Data and Iteration.mp4 5.86MB
1. Introducing you to Nested Data and Iteration.srt 2.25KB
1. Intro to Data Science.mp4 56.05MB
1. Intro to Data Science.srt 3.03KB
1. Intro to Github.mp4 40.10MB
1. Intro to Github.srt 3.24KB
1. Libraries.mp4 101.68MB
1. Libraries.srt 6.65KB
1. Linear Equation Definition.mp4 11.55MB
1. Linear Equation Definition.srt 5.19KB
1. Mathematical Structures.mp4 44.64MB
1. Mathematical Structures.srt 10.31KB
1. Probability Models and Axioms.mp4 26.86MB
1. Probability Models and Axioms.srt 9.11KB
1. Purpose of Chatbot Section.mp4 153.28MB
1. Purpose of Chatbot Section.srt 9.43KB
1. Random Variables.mp4 13.81MB
1. Random Variables.srt 4.52KB
1. Solution - Fill in Activity - Fundamentals.mp4 46.48MB
1. Solution - Fill in Activity - Fundamentals.srt 9.59KB
1. Statistical Inference.mp4 29.75MB
1. Statistical Inference.srt 8.79KB
1. Welcome to the Python for Data Science and Machine Learning Section.html 275B
1. What IS the best language for Data Science.mp4 39.78MB
1. What IS the best language for Data Science.srt 3.09KB
1. Windows - Download Anaconda Distribution (includes Python!).mp4 14.20MB
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10. Covariance, Correlation and More on Variance.mp4 46.34MB
10. Covariance, Correlation and More on Variance.srt 12.59KB
10. Delete Elements.mp4 25.89MB
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10. Dim of C(A) and N(A).mp4 38.04MB
10. Dim of C(A) and N(A).srt 9.87KB
10. Formal Function vs. Lambda for splitting strings.mp4 23.62MB
10. Formal Function vs. Lambda for splitting strings.srt 6.12KB
10. Grouping (groupby).mp4 11.38MB
10. Grouping (groupby).srt 3.98KB
10. PracticalReal World Example - Using Common Mathematical Notation.mp4 13.56MB
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10. Row Operations Rules.mp4 13.72MB
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10. Tuple - How To Use.mp4 23.97MB
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11.1 Fill+in+Activity+(Looping+&+Functions) (1).rar 42.41KB
11. Append.mp4 14.69MB
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11. Creating a Set.mp4 6.42MB
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11. Fill in Activity 2 - Looping and Functions.html 78B
11. Law of Large Numbers (LLN).mp4 7.75MB
11. Law of Large Numbers (LLN).srt 3.63KB
11. PracticalReal World Example - Creating a Constrained ID.mp4 23.21MB
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11. Row Operations Example (REF).mp4 31.55MB
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11. Sorting.mp4 10.26MB
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11. The Dimension of a Vector Space.mp4 6.02MB
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12. Activity Building Intuition (Loops, Nested Data, Iteration and List Comp).mp4 23.86MB
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12. Central Limit Theorem (CLT).mp4 15.87MB
12. Central Limit Theorem (CLT).srt 5.74KB
12. Checking Data Types and Converting.mp4 15.65MB
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12. Insert Elements.mp4 29.69MB
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12. Linear Maps.mp4 23.94MB
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12. Set - How To Use.mp4 9.62MB
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12. Visualizing Ax=b.mp4 9.43MB
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13.1 Fill+in+Activity+(Nested+and+List+Comprehension)+(1) (1).rar 51.02KB
13. Dealing with Missing Values.mp4 34.51MB
13. Dealing with Missing Values.srt 7.60KB
13. Fill in Activity 3 - Nesting and List Comp.html 78B
13. Four Fundamental Subspaces.mp4 24.48MB
13. Four Fundamental Subspaces.srt 6.18KB
13. General Formula - Matrix Vector Multiplication.mp4 24.65MB
13. General Formula - Matrix Vector Multiplication.srt 9.58KB
13. Operators.mp4 35.98MB
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14.1 Fill+in+Activity+(Fundamentals) (1).rar 41.87KB
14. Adding Geometry to Vector Spaces.mp4 3.07MB
14. Adding Geometry to Vector Spaces.srt 2.07KB
14. Dropping ColumnsVariables and RecordsRows.mp4 21.68MB
14. Dropping ColumnsVariables and RecordsRows.srt 3.69KB
14. Fill in Activity 1 - Fundamentals.html 78B
14. Flatten.mp4 10.07MB
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14. Tips for Row Operations.mp4 19.69MB
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15. Orthogonal Projection - One Method for Least Squares.mp4 30.33MB
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15. Renaming ColumnsVariables and RecordsRows.mp4 20.84MB
15. Renaming ColumnsVariables and RecordsRows.srt 4.36KB
15. Transpose.mp4 9.08MB
15. Transpose.srt 2.68KB
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16. Concatenate.mp4 31.36MB
16. Concatenate.srt 6.97KB
16. Concat Function + Pop Quiz.mp4 61.40MB
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16. Least Squares.mp4 9.43MB
16. Least Squares.srt 3.79KB
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17. Real World Activity Add New Columns and Predict Stock Movement.mp4 29.32MB
17. Real World Activity Add New Columns and Predict Stock Movement.srt 4.35KB
17. Splitting.mp4 19.41MB
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171 141.93KB
172 225.20KB
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174 1002.16KB
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18. AggregateStatistical Functions.mp4 14.68MB
18. AggregateStatistical Functions.srt 3.21KB
19 692.65KB
19.1 Numpy+Fill-In+Activity (1).rar 849B
19. Fill in Activity - Numpy.html 78B
2 740.24KB
2. Abelian Groups and Fields.mp4 6.71MB
2. Abelian Groups and Fields.srt 2.45KB
2. API's.mp4 20.11MB
2. API's.srt 4.03KB
2. Bayesian Estimator.mp4 8.42MB
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2. Business Understanding.mp4 114.63MB
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2. Comments - Inline and Block Comments.mp4 15.75MB
2. Comments - Inline and Block Comments.srt 5.01KB
2. Create a Repository.mp4 24.36MB
2. Create a Repository.srt 4.86KB
2. Creating our first Numpy Array.mp4 9.97MB
2. Creating our first Numpy Array.srt 3.75KB
2. Forms of a Linear Equation.mp4 11.78MB
2. Forms of a Linear Equation.srt 3.79KB
2. For SAS Programmers Analogous Terms in Pandas (Python).mp4 31.40MB
2. For SAS Programmers Analogous Terms in Pandas (Python).srt 7.68KB
2. Functions - General Syntax.mp4 11.25MB
2. Functions - General Syntax.srt 5.26KB
2. If statement.mp4 12.05MB
2. If statement.srt 4.24KB
2. OptionsFeatures When Watching Videos.mp4 29.61MB
2. OptionsFeatures When Watching Videos.srt 7.19KB
2. Probability Mass Function and Discrete R.V's.mp4 11.46MB
2. Probability Mass Function and Discrete R.V's.srt 5.31KB
2. Python.mp4 36.98MB
2. Python.srt 2.75KB
2. Simple Counting.mp4 7.98MB
2. Simple Counting.srt 3.73KB
2. Simple Nested Example.mp4 16.96MB
2. Simple Nested Example.srt 5.30KB
2. Solution - Fill in Activity - Looping and Functions.mp4 71.26MB
2. Solution - Fill in Activity - Looping and Functions.srt 13.00KB
2. What a Data Scientist Does.mp4 43.74MB
2. What a Data Scientist Does.srt 2.25KB
2. What is a Chatbot.mp4 60.65MB
2. What is a Chatbot.srt 3.41KB
2. Windows - Install Anaconda Distribution.mp4 29.38MB
2. Windows - Install Anaconda Distribution.srt 5.00KB
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3 47.49KB
3. +1 Function.mp4 8.01MB
3. +1 Function.srt 3.26KB
3.1 NotebooksandDataSets.rar 11.65MB
3. Big Data.mp4 48.30MB
3. Big Data.srt 2.33KB
3. Creating Branch and Commit Changes.mp4 32.76MB
3. Creating Branch and Commit Changes.srt 7.60KB
3. Datasets.mp4 128.17MB
3. Datasets.srt 8.21KB
3. Data Understanding.mp4 115.64MB
3. Data Understanding.srt 6.78KB
3. Discrete Example.mp4 29.80MB
3. Discrete Example.srt 8.35KB
3. Double Indexing.mp4 16.81MB
3. Double Indexing.srt 4.28KB
3. Else Statement.mp4 9.37MB
3. Else Statement.srt 3.40KB
3. Example - Bayesian Estimator.mp4 20.20MB
3. Example - Bayesian Estimator.srt 8.67KB
3. Expectation and Variance for Discrete Random Variables.mp4 12.43MB
3. Expectation and Variance for Discrete Random Variables.srt 4.36KB
3. Python Indentation.mp4 10.14MB
3. Python Indentation.srt 3.70KB
3. Resources (Data-sets and Notebooks).html 80B
3. SAS.mp4 52.29MB
3. SAS.srt 4.16KB
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 4.54KB
3. Signing up for Watson Assistant.mp4 12.73MB
3. Signing up for Watson Assistant.srt 2.14KB
3. Solution - Fill in Activity - Nested and List Comprehension.mp4 19.30MB
3. Solution - Fill in Activity - Nested and List Comprehension.srt 4.17KB
3. Systems of Linear Equations.mp4 9.11MB
3. Systems of Linear Equations.srt 3.05KB
3. Using Series as Input into DataFrame.mp4 11.03MB
3. Using Series as Input into DataFrame.srt 4.35KB
3. Vector Spaces 1.mp4 14.96MB
3. Vector Spaces 1.srt 3.84KB
3. Windows - Setting Up Environment.mp4 15.40MB
3. Windows - Setting Up Environment.srt 4.75KB
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34 224.10KB
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4. Assigning Values.mp4 4.02MB
4. Assigning Values.srt 2.42KB
4. Comparing Series and DataFrame.mp4 26.67MB
4. Comparing Series and DataFrame.srt 8.02KB
4. Conditional Bayes.mp4 10.15MB
4. Conditional Bayes.srt 3.42KB
4. Creating a name - Healthcare Service Chatbot.mp4 15.18MB
4. Creating a name - Healthcare Service Chatbot.srt 4.91KB
4. Creating a Sequence of Integers and Floats.mp4 7.07MB
4. Creating a Sequence of Integers and Floats.srt 2.09KB
4. Data Mining.mp4 83.41MB
4. Data Mining.srt 4.56KB
4. Data Prep.mp4 167.45MB
4. Data Prep.srt 11.02KB
4. Elif.mp4 8.21MB
4. Elif.srt 2.70KB
4. Fav Band Function.mp4 10.88MB
4. Fav Band Function.srt 3.39KB
4. Joint PMF's (Multiple Discrete Variables).mp4 6.67MB
4. Joint PMF's (Multiple Discrete Variables).srt 3.22KB
4. Line and Plane.mp4 9.17MB
4. Line and Plane.srt 2.87KB
4. Mean Squared Error = Variance. Why.mp4 16.75MB
4. Mean Squared Error = Variance. Why.srt 3.66KB
4. Pull Request and Merging Pull Request.mp4 27.98MB
4. Pull Request and Merging Pull Request.srt 6.67KB
4. R.mp4 40.15MB
4. R.srt 2.97KB
4. Solution - Fill in Activity - Numpy.mp4 58.32MB
4. Solution - Fill in Activity - Numpy.srt 11.15KB
4. Vector Spaces - Concrete Example.mp4 17.48MB
4. Vector Spaces - Concrete Example.srt 4.88KB
4. Windows - Opening Jupyter Notebook.mp4 4.28MB
4. Windows - Opening Jupyter Notebook.srt 2.38KB
4. Writing Single and Multiple Lines of Code.mp4 8.95MB
4. Writing Single and Multiple Lines of Code.srt 2.81KB
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41 415.66KB
42 459.77KB
43 610.34KB
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5. Aij Notation.mp4 20.11MB
5. Aij Notation.srt 4.88KB
5. Celsius to Fahrenheit Function.mp4 10.33MB
5. Celsius to Fahrenheit Function.srt 4.09KB
5. Conditional Example 1.mp4 18.80MB
5. Conditional Example 1.srt 3.57KB
5. Continuous Random Variables.mp4 8.72MB
5. Continuous Random Variables.srt 3.10KB
5. Element-Wise Operations.mp4 17.68MB
5. Element-Wise Operations.srt 5.17KB
5. For Loop.mp4 7.25MB
5. For Loop.srt 3.05KB
5. Importing TSLA Dataset.mp4 14.54MB
5. Importing TSLA Dataset.srt 3.06KB
5. Intents.mp4 27.51MB
5. Intents.srt 10.03KB
5. List of Dicts and Dicts of Dicts Example.mp4 31.59MB
5. List of Dicts and Dicts of Dicts Example.srt 6.95KB
5. Machine Learning vs. Deep Learning.mp4 78.70MB
5. Machine Learning vs. Deep Learning.srt 4.36KB
5. MacOS - Anaconda Download and Install.mp4 54.46MB
5. MacOS - Anaconda Download and Install.srt 3.49KB
5. Modeling.mp4 145.38MB
5. Modeling.srt 8.78KB
5. SQL.mp4 54.74MB
5. SQL.srt 4.38KB
5. Subspaces.mp4 19.63MB
5. Subspaces.srt 5.57KB
5. Understanding Variables.mp4 6.49MB
5. Understanding Variables.srt 2.35KB
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54 25.09KB
55 62.07KB
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6. Advice to Data Scientists.mp4 89.83MB
6. Advice to Data Scientists.srt 5.64KB
6. A Range with a Shape (arange function with reshape function).mp4 8.05MB
6. A Range with a Shape (arange function with reshape function).srt 1.97KB
6. Conditional Healthcare (Cancer) Example 2.mp4 61.77MB
6. Conditional Healthcare (Cancer) Example 2.srt 11.40KB
6. Continuous Random Variables and Probability Density Function.mp4 6.82MB
6. Continuous Random Variables and Probability Density Function.srt 3.03KB
6. Entities.mp4 30.48MB
6. Entities.srt 9.67KB
6. Evaluation.mp4 186.46MB
6. Evaluation.srt 11.13KB
6. Index Based Selection (iloc).mp4 9.14MB
6. Index Based Selection (iloc).srt 3.12KB
6. Linear Combinations and Span.mp4 17.29MB
6. Linear Combinations and Span.srt 5.28KB
6. MacOS - Conda Environment.mp4 40.25MB
6. MacOS - Conda Environment.srt 5.00KB
6. Main Data Types and Creating Them (Integer, Float, String, List, Dictionary).mp4 17.13MB
6. Main Data Types and Creating Them (Integer, Float, String, List, Dictionary).srt 6.12KB
6. Nested Iteration - Iterating through List of Lists.mp4 18.18MB
6. Nested Iteration - Iterating through List of Lists.srt 4.83KB
6. Optional Return Statement (and comparing it to Print Statement).mp4 14.46MB
6. Optional Return Statement (and comparing it to Print Statement).srt 5.43KB
6. System of Equations as a Matrix.mp4 14.14MB
6. System of Equations as a Matrix.srt 5.16KB
6. While Loop.mp4 11.55MB
6. While Loop.srt 4.82KB
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7. Break and Continue Statements.mp4 12.51MB
7. Break and Continue Statements.srt 4.23KB
7. Continuous R.V. Example.mp4 13.88MB
7. Continuous R.V. Example.srt 4.31KB
7. Defining a Function vs. Calling a Function (including different ways to call).mp4 39.09MB
7. Defining a Function vs. Calling a Function (including different ways to call).srt 14.68KB
7. Defining List Comprehension and Syntax.mp4 15.40MB
7. Defining List Comprehension and Syntax.srt 6.11KB
7. Deployment.mp4 148.95MB
7. Deployment.srt 7.90KB
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
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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
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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
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TutsNode.com.txt 63B
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