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Preprocessing Data with NumPy
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[TutsNode.com] - Preprocessing Data with NumPy (Size: 2.45 GB) (Files: 246)
[TutsNode.com] - Preprocessing Data with NumPy
8. Manipulation Data with NumPy
11. Stacking Arrays.mp4
1.3 Preprocessing-Data-With-NumPy-Complete.ipynb
1.2 Lending-company-Numeric.csv
1.4 Lending-company-Numeric-NAN.csv
10.1 Lending-Company-Total-Price.csv
7. Argument Functions - Part 1 Argument Where.srt
1.1 Preprocessing-Data-With-NumPy-Template.ipynb
11. Stacking Arrays.srt
5. Sorting Arrays.srt
1. Checking for Missing Values.srt
2. Substituting Filler Values.srt
8. Shuffling Data.srt
12. Concatenating Arrays.srt
3. Reshaping Arrays.srt
9. Casting Arrays.srt
6. Argument Functions - Part 1 Argument Sort.srt
13. Finding Unique Values in Arrays.srt
7. Argument Functions - Part 1 Argument Where.mp4
10. Stripping Symbols from Arrays.srt
4. Removing Values.srt
5. Sorting Arrays.mp4
1. Checking for Missing Values.mp4
12. Concatenating Arrays.mp4
9. Casting Arrays.mp4
3. Reshaping Arrays.mp4
8. Shuffling Data.mp4
2. Substituting Filler Values.mp4
6. Argument Functions - Part 1 Argument Sort.mp4
10. Stripping Symbols from Arrays.mp4
13. Finding Unique Values in Arrays.mp4
4. Removing Values.mp4
1. Introduction to NumPy
3.1 FAQ-for-Udemy.pdf
2. Download All Resources.html
5. The NumPy Package and Its Applications.html
7. What is an array.srt
6. Installing and Upgrading NumPy.srt
6.1 Intro-to-NumPy-Template.ipynb
9. Introduction to NumPy - Exercise.html
3. FAQ.html
1. What Does the Course Cover.srt
8. Using the NumPy Documentation.srt
4. The NumPy Package and Its Applications.srt
6.2 Intro-to-NumPy-Complete.ipynb
1. What Does the Course Cover.mp4
8. Using the NumPy Documentation.mp4
4. The NumPy Package and Its Applications.mp4
7. What is an array.mp4
6. Installing and Upgrading NumPy.mp4
9. A NumPy Practical Example
1.1 A-Loan-Data-Example-with-NumPy-Complete.ipynb
1.5 A-Loan-Data-Example-with-NumPy-Template.ipynb
1.4 loan-data-dictionary.xlsx
8. Manipulating Text Data Grade and Sub Grade.srt
14. Manipulating Numeric Data Currency Change - From USD to EUR.srt
12. Manipulating Numeric Data Substitute Filler Values.srt
15. Completing the Dataset.srt
7. Manipulating Text Data Loan Status and Term.srt
13. Manipulating Numeric Data Currency Change – The Exchange Rate.srt
10. Manipulating Text Data State Address.srt
6. Manipulating Text Data Issue Date.srt
1. Setting Up Introduction to the Practical Example.srt
4. Setting Up Splitting the Dataset.srt
9. Manipulating Text Data Verification Status & URL.srt
3. Setting Up Checking for Incomplete Data.srt
2. Setting Up Importing the Data Set.srt
11. Manipulating Text Data Converting Strings and Creating a Checkpoint.srt
5. Setting Up Creating Checkpoints.srt
1.3 EUR-USD.csv
15. Completing the Dataset.mp4
14. Manipulating Numeric Data Currency Change - From USD to EUR.mp4
1. Setting Up Introduction to the Practical Example.mp4
8. Manipulating Text Data Grade and Sub Grade.mp4
10. Manipulating Text Data State Address.mp4
12. Manipulating Numeric Data Substitute Filler Values.mp4
7. Manipulating Text Data Loan Status and Term.mp4
2. Setting Up Importing the Data Set.mp4
13. Manipulating Numeric Data Currency Change – The Exchange Rate.mp4
4. Setting Up Splitting the Dataset.mp4
9. Manipulating Text Data Verification Status & URL.mp4
3. Setting Up Checking for Incomplete Data.mp4
6. Manipulating Text Data Issue Date.mp4
11. Manipulating Text Data Converting Strings and Creating a Checkpoint.mp4
5. Setting Up Creating Checkpoints.mp4
1.2 loan-data.csv
6. Importing and Saving Data
3.1 lending-co-LT.csv
1.1 Lending-Company-Numeric-Data.csv
5.1 Lending-Company-Saving.csv
1.3 Lending-Company-Numeric-Data-NAN.csv
1. Importing Data with Numpy - np.loadtxtx() vs np.genfromtxt().srt
1.2 Importing-Text-Data-Complete.ipynb
5. Saving Data with NumPy - NPY.srt
1. Importing Data with Numpy - np.loadtxtx() vs np.genfromtxt().mp4
5.2 Saving-Data-NP-Complete.ipynb
2. Importing Data with NumPy - Simple Cleaning when Importing.srt
3. Importing Data with NumPy - String vs Object vs Numbers.srt
1.4 Importing-Text-Data-Template.ipynb
6. Saving Data with NumPy - NPZ.srt
4. Importing Data with NumPy - Exercise.html
8. Importing and Saving Data - Exercise.html
7. Saving Data with NumPy - CSV.srt
5.3 Saving-Data-NP-Template.ipynb
2. Importing Data with NumPy - Simple Cleaning when Importing.mp4
3. Importing Data with NumPy - String vs Object vs Numbers.mp4
5. Saving Data with NumPy - NPY.mp4
6. Saving Data with NumPy - NPZ.mp4
7. Saving Data with NumPy - CSV.mp4
7. Statistics with NumPy
1.1 Statistics-With-NumPy-Complete.ipynb
1. Using NumPy Statistical Functions.srt
6. Histogram - Part 1 1-D Histograms.srt
3. Percentiles and Quantiles.srt
2. Minimal and Maximal Values.srt
1.2 Statistics-With-NumPy-Template.ipynb
4. Averages and Variance.srt
7. Histogram - Part 2 Higher Dimension Histograms.srt
5. Covariance and Correlation.srt
8. N-A-N Equivalent Functions.srt
9. Statistics with NumPy - Exercise.html
1. Using NumPy Statistical Functions.mp4
6. Histogram - Part 1 1-D Histograms.mp4
2. Minimal and Maximal Values.mp4
3. Percentiles and Quantiles.mp4
4. Averages and Variance.mp4
7. Histogram - Part 2 Higher Dimension Histograms.mp4
5. Covariance and Correlation.mp4
8. N-A-N Equivalent Functions.mp4
5. Generating Data with NumPy
1.2 Generating-Data-With-NumPy-Complete.ipynb
1. Empty Arrays, Arrays of Identical Values.srt
4. Random Generators and Seeds.srt
6. Random Probability Distributions.srt
8. Generating Data with NumPy - Exercise.html
3. A Sequence of Numbers - np.arange().srt
1.1 Generating-Data-With-NumPy-Template.ipynb
5. Random Integers, Probabilities and Choices.srt
7. Applications of Random Generators.srt
2. _like Functions.srt
6. Random Probability Distributions.mp4
4. Random Generators and Seeds.mp4
7. Applications of Random Generators.mp4
1. Empty Arrays, Arrays of Identical Values.mp4
5. Random Integers, Probabilities and Choices.mp4
3. A Sequence of Numbers - np.arange().mp4
2. _like Functions.mp4
2. Why Do We Use NumPy
2. A Brief History of NumPy.html
5. Why Do We Use NumPy - Exercise.html
3. ndarrays.srt
3.2 Why-NumPy-Complete.ipynb
4. Arrays vs Lists.srt
1. A Brief History of NumPy.srt
3.1 Why-NumPy-Template.ipynb
3. ndarrays.mp4
1. A Brief History of NumPy.mp4
4. Arrays vs Lists.mp4
3. NumPy Fundamentals
1.2 NumPy-Fundamentals-Complete.ipynb
7. NumPy Fundamentals - Exercise.html
4. NumPy Datatypes.srt
1. Indexing.srt
1.1 NumPy-Fundamentals-Template.ipynb
5. Characteristics of NumPy Functions - Part 1.srt
3. Elementwise Properties.srt
2. Assigning Values.srt
6. Characteristics of NumPy Functions - Part 2.srt
4. NumPy Datatypes.mp4
5. Characteristics of NumPy Functions - Part 1.mp4
1. Indexing.mp4
3. Elementwise Properties.mp4
6. Characteristics of NumPy Functions - Part 2.mp4
2. Assigning Values.mp4
4. Working with Arrays
1. Basic Slicing.srt
1.1 Working-With-Arrays-Complete.ipynb
5. Working with Arrays - Exercise.html
4. Dimensions and the Squeeze Function.srt
2. Stepwise Slicing.srt
3. Conditional Slicing.srt
1.2 Working-With-Arrays-Template.ipynb
1. Basic Slicing.mp4
4. Dimensions and the Squeeze Function.mp4
2. Stepwise Slicing.mp4
3. Conditional Slicing.mp4
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