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2021 NumPy and Pandas A-Z for Deep and Machine Learning
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[TutsNode.com] - 2021 NumPy and Pandas A-Zâ„¢ for Deep and Machine Learning (Size: 3.18 GB) (Files: 829)
[TutsNode.com] - 2021 NumPy and Pandas A-Zâ„¢ for Deep and Machine Learning
57 Pandas - Challenges & Solutions
002 Pandas - Difference between Loc and iloc - more.mp4
002 Pandas - Difference between Loc and iloc - more.en.srt
001 Pandas - Difference between Loc and iloc.en.srt
007 Pandas - Using tail, loc and iloc for last row.en.srt
003 Pandas - Difference between head and tail.en.srt
004 Pandas - Difference between head and tail - Code.html
006 Pandas - Using Head, Loc & iLoc to Achieve the Same Result - Code.html
008 Pandas - Using tail, loc and iloc for last row - Code.html
005 Pandas - Using Head, Loc & iLoc to Achieve the Same Result.en.srt
001 Pandas - Difference between Loc and iloc.mp4
007 Pandas - Using tail, loc and iloc for last row.mp4
003 Pandas - Difference between head and tail.mp4
005 Pandas - Using Head, Loc & iLoc to Achieve the Same Result.mp4
01 NumPy - Setups
001 Installing Jupiter Notebook.en.srt
002 Installing of NumPy.en.srt
003 Importing NumPy.en.srt
002 Installing of NumPy.mp4
001 Installing Jupiter Notebook.mp4
003 Importing NumPy.mp4
48 Resources Used for Pandas
180 world-happiness-report.csv
181 Sales_data.csv
001 Happiness Data Set.html
003 Northwind Database.html
002 Sales Data Set.html
182 Northwind_Data_Set.sql
10 NumPy - 1-D Array Indexing and Slicing
001 Understanding how indexing and Slicing work on 1-D Arrays.en.srt
001 Understanding how indexing and Slicing work on 1-D Arrays.mp4
02 NumPy - Introduction
001 What is NumPy.en.srt
005 Exploring - Row Before Column - Why_.en.srt
002 What is Arrray.en.srt
006 Identifying an Array.en.srt
003 Types of Array.en.srt
007 Scalar vs Vector vs Matrix vs Tensor.en.srt
004 What is Dimension.en.srt
005 Exploring - Row Before Column - Why_.mp4
006 Identifying an Array.mp4
007 Scalar vs Vector vs Matrix vs Tensor.mp4
004 What is Dimension.mp4
002 What is Arrray.mp4
001 What is NumPy.mp4
003 Types of Array.mp4
64 Pandas with SQL
001 Installation, Connection & Import.en.srt
001 Installation, Connection & Import.mp4
007 Creating Table in SQL from Pandas.en.srt
009 read_sql() method - A two in one Method.en.srt
003 Importing Fewer Columns From SQL to Pandas.en.srt
005 Querying SQL Database from Pandas.en.srt
010 read_sql() method - A two in one Method - Code.html
002 Installation, Connection & Import - Code.html
006 Querying SQL Database from Pandas - Code.html
008 Creating Table in SQL from Pandas - Code.html
004 Importing Fewer Columns From SQL to Pandas - Code.html
007 Creating Table in SQL from Pandas.mp4
009 read_sql() method - A two in one Method.mp4
003 Importing Fewer Columns From SQL to Pandas.mp4
005 Querying SQL Database from Pandas.mp4
04 NumPy - Data Type
001 Understanding NumPy Data Type.en.srt
002 Forcing a Data Type of an Array.en.srt
001 Understanding NumPy Data Type.mp4
002 Forcing a Data Type of an Array.mp4
16 NumPy - 3D Indexing and Slicing
003 More on Slicing.en.srt
002 Slicing a 3-D Array.en.srt
001 Selecting Elements of 3-D Array.en.srt
003 More on Slicing.mp4
001 Selecting Elements of 3-D Array.mp4
002 Slicing a 3-D Array.mp4
62 Pandas - Data Cleaning
002 Pandas - Checking for NaN.en.srt
007 Pandas - Replacing NaN with a value.en.srt
012 Pandas - Data Cleaning - Sales.en.srt
004 Pandas - Removing NaN.en.srt
006 Pandas - Removing NaN II.en.srt
009 Pandas - Replacing NaN in one Column.en.srt
011 Pandas - Replacing NaN with mean, mode & median.en.srt
001 Introduction.en.srt
013 Pandas - Data Cleaning - Sales -Code.html
010 Pandas - Replacing NaN in one Column - Code.html
003 Pandas - Checking for NaN - Code.html
005 Pandas - Removing NaN - Code.html
008 Pandas - Replacing NaN with a value - Code.html
007 Pandas - Replacing NaN with a value.mp4
012 Pandas - Data Cleaning - Sales.mp4
002 Pandas - Checking for NaN.mp4
004 Pandas - Removing NaN.mp4
006 Pandas - Removing NaN II.mp4
009 Pandas - Replacing NaN in one Column.mp4
011 Pandas - Replacing NaN with mean, mode & median.mp4
001 Introduction.mp4
65 Pandas with Excel
003 Pandas - Cleaning Excel Data Set While Importing.en.srt
004 Pandas - Cleaning Excel Data Set While Importing - Code.html
009 Pandas - Shifting an Excel Sheet.en.srt
005 Pandas - Saving an Excel File.en.srt
007 Pandas _ Save Excel File Without Index.en.srt
003 Pandas - Cleaning Excel Data Set While Importing.mp4
001 Pandas - Importing Excel File.en.srt
002 Pandas - Importing Excel File - Code.html
010 Pandas - Shifting an Excel Sheet - Code.html
006 Pandas - Saving an Excel File - Code.html
008 Pandas _ Save Excel File Without Index - Code.html
009 Pandas - Shifting an Excel Sheet.mp4
005 Pandas - Saving an Excel File.mp4
007 Pandas _ Save Excel File Without Index.mp4
001 Pandas - Importing Excel File.mp4
03 NumPy - Creating Arrays
001 First Time Creating an Array.en.srt
002 Creating an Array from a Tuple.en.srt
005 Creating a 1-D Array.en.srt
006 Creating a 2-D Array.en.srt
004 Avoiding Errors of _Multiple Arguments_.en.srt
003 Creating a Zero Dimensional Array.en.srt
007 Creating a 3-D Array.en.srt
003 Creating a Zero Dimensional Array.mp4
007 Creating a 3-D Array.mp4
004 Avoiding Errors of _Multiple Arguments_.mp4
001 First Time Creating an Array.mp4
006 Creating a 2-D Array.mp4
002 Creating an Array from a Tuple.mp4
005 Creating a 1-D Array.mp4
43 NumPy - Data Distribution
002 What is Random Distribution_.en.srt
001 What is Data Distribution_.en.srt
003 Random Distribution 2-D and 3-D Array.en.srt
002 What is Random Distribution_.mp4
001 What is Data Distribution_.mp4
003 Random Distribution 2-D and 3-D Array.mp4
07 NumPy - Attributes of an Array
001 How to find the attributes of an Array - (ndim, shape, sizd, dtype, itemsize).en.srt
001 How to find the attributes of an Array - (ndim, shape, sizd, dtype, itemsize).mp4
30 NumPy - Newaxis
001 Understanding Newaxis.en.srt
001 Understanding Newaxis.mp4
58 Pandas - Challenges & Solutions
001 Pandas - iloc & loc.en.srt
003 Pandas - Without Using Tail or iLoc Get Last Row.en.srt
005 Pandas - Using Range.en.srt
007 Pandas - Another Selection Trick.en.srt
008 Pandas - Another Selection Trick - Code.html
002 Pandas - iloc & loc - code.html
004 Pandas - Without Using Tail or iLoc Get Last Row - Code.html
006 Pandas - Using Range - Code.html
001 Pandas - iloc & loc.mp4
005 Pandas - Using Range.mp4
003 Pandas - Without Using Tail or iLoc Get Last Row.mp4
007 Pandas - Another Selection Trick.mp4
18 NumPy - Summary - Selecting Element From Any n-D Array
001 Summary on Selecting Element From any Dimensional Array.en.srt
001 Summary on Selecting Element From any Dimensional Array.mp4
42 NumPy - Seed
001 Understanding Random Seed.en.srt
002 Random Seed With Choice().en.srt
001 Understanding Random Seed.mp4
002 Random Seed With Choice().mp4
59 Pandas - Challenges & Solutions
003 Pandas - Even Columns Without Using Range.en.srt
001 Pandas - Even Columns.en.srt
005 Pandas - Specific Row.en.srt
009 Pandas - Filtering Greater Than.en.srt
011 Pandas - Filtering Greater Than with Fewer Rows.en.srt
006 Pandas - Specific Row - Code.html
012 Pandas - Filtering Greater Than with Fewer Rows - Code.html
002 Pandas - Even Columns - Code.html
004 Pandas - Even Columns Without Using Range - Code.html
010 Pandas - Filtering Greater Than - Code.html
008 Pandas - Column - Code.html
007 Pandas - Column.en.srt
003 Pandas - Even Columns Without Using Range.mp4
005 Pandas - Specific Row.mp4
001 Pandas - Even Columns.mp4
011 Pandas - Filtering Greater Than with Fewer Rows.mp4
009 Pandas - Filtering Greater Than.mp4
007 Pandas - Column.mp4
14 NumPy - 2-D Array Indexing and Slicing
002 Slicing In 2-D Array.en.srt
001 Selecting Elements of 2-D Array.en.srt
002 Slicing In 2-D Array.mp4
001 Selecting Elements of 2-D Array.mp4
05 NumPy - Challenges and Solution - Creating Arrays
001 The Challenges.en.srt
002 The Challenges - text.html
003 Solution to Challenge 1a.en.srt
004 Solution to Challenge 1b.en.srt
005 Solution to Challenge 1c.en.srt
006 Solution to Challenge 1d.en.srt
007 Solution to Challenge 1e.en.srt
008 Solution to Challenge 2a.en.srt
009 Solution to Challenge 2b.en.srt
011 Solution to Challenge 2d.en.srt
012 Solution to Challenge 2e.en.srt
013 Solution to Challenge 2f.en.srt
010 Solution to Challenge 2c.en.srt
010 Solution to Challenge 2c.mp4
006 Solution to Challenge 1d.mp4
005 Solution to Challenge 1c.mp4
001 The Challenges.mp4
007 Solution to Challenge 1e.mp4
004 Solution to Challenge 1b.mp4
013 Solution to Challenge 2f.mp4
012 Solution to Challenge 2e.mp4
011 Solution to Challenge 2d.mp4
003 Solution to Challenge 1a.mp4
009 Solution to Challenge 2b.mp4
008 Solution to Challenge 2a.mp4
45 NumPy - Normal Distribution & Visualisation
001 What is Normal Distribution.en.srt
002 Normal Distribution Visualisation.en.srt
001 What is Normal Distribution.mp4
002 Normal Distribution Visualisation.mp4
25 NumPy - Splitting an Array
001 Splitting an Array.en.srt
002 Splitting an Array on a Specific Column.en.srt
001 Splitting an Array.mp4
002 Splitting an Array on a Specific Column.mp4
08 NumPy - Challenges and Solutions - Creating Arrays (More)
013 Solution to Challenge #4.en.srt
003 Solution to Challenge 1a.en.srt
001 The Challenges.en.srt
002 The Challenges - Text.html
004 Solution to Challenge 1b.en.srt
005 Solution to Challenge 1c.en.srt
006 Solution to Challenge 2a.en.srt
007 Solution to Challenge 2b.en.srt
008 Solution to Challenge 2c.en.srt
009 Solution to Challenge 2d.en.srt
010 Solution to Challenge 2e.en.srt
011 Solution to Challenge 2f.en.srt
012 Solution to Challenge #3.en.srt
013 Solution to Challenge #4.mp4
003 Solution to Challenge 1a.mp4
005 Solution to Challenge 1c.mp4
012 Solution to Challenge #3.mp4
007 Solution to Challenge 2b.mp4
006 Solution to Challenge 2a.mp4
004 Solution to Challenge 1b.mp4
008 Solution to Challenge 2c.mp4
010 Solution to Challenge 2e.mp4
011 Solution to Challenge 2f.mp4
001 The Challenges.mp4
009 Solution to Challenge 2d.mp4
41 NumPy - Random Sub-Module
003 Random Arrays.en.srt
001 Random Number (Integer).en.srt
005 Choice with 2-D and 3-D Array.en.srt
002 Random Number (Float).en.srt
004 Random Choice.en.srt
003 Random Arrays.mp4
001 Random Number (Integer).mp4
005 Choice with 2-D and 3-D Array.mp4
004 Random Choice.mp4
002 Random Number (Float).mp4
36 NumPy - Cross Product
003 Challenge & Solution - II.en.srt
001 Understanding Cross Product.en.srt
002 Challenge & Solution - I.en.srt
003 Challenge & Solution - II.mp4
002 Challenge & Solution - I.mp4
001 Understanding Cross Product.mp4
09 NumPy - Array Sorting and Concatenation
002 Array Concatenation.en.srt
001 Array Sorting.en.srt
002 Array Concatenation.mp4
001 Array Sorting.mp4
17 NumPy - Challenges and Solution - 3-D Array Indexing & Slicing
009 Solution to Challenge #7.en.srt
012 Solution to Challenge #10.en.srt
013 Solution to Challenge #11.en.srt
006 Solution to Challenge #4.en.srt
002 The Challenges - Text.html
007 Solution to Challenge #5.en.srt
001 The Challenges.en.srt
018 Solution to Challenge #16.en.srt
003 Solution to Challenge #1.en.srt
004 Solution to Challenge #2.en.srt
005 Solution to Challenge #3.en.srt
008 Solution to Challenge #6.en.srt
010 Solution to Challenge #8.en.srt
011 Solution to Challenge #9.en.srt
014 Solution to Challenge #12.en.srt
015 Solution to Challenge #13.en.srt
016 Solution to Challenge #14.en.srt
017 Solution to Challenge #15.en.srt
019 Solution to Challenge #17.en.srt
009 Solution to Challenge #7.mp4
013 Solution to Challenge #11.mp4
012 Solution to Challenge #10.mp4
018 Solution to Challenge #16.mp4
006 Solution to Challenge #4.mp4
003 Solution to Challenge #1.mp4
007 Solution to Challenge #5.mp4
016 Solution to Challenge #14.mp4
005 Solution to Challenge #3.mp4
014 Solution to Challenge #12.mp4
008 Solution to Challenge #6.mp4
017 Solution to Challenge #15.mp4
011 Solution to Challenge #9.mp4
010 Solution to Challenge #8.mp4
015 Solution to Challenge #13.mp4
019 Solution to Challenge #17.mp4
001 The Challenges.mp4
004 Solution to Challenge #2.mp4
29 NumPy - Appending and Inserting Elements Into an Array
001 How to append & Insert an Element Into An Array.en.srt
002 How to append & Insert Elements Into An Array.en.srt
001 How to append & Insert an Element Into An Array.mp4
002 How to append & Insert Elements Into An Array.mp4
19 NumPy - Array Flatten and Ravel
001 Understanding Array Flatten and Ravel.en.srt
001 Understanding Array Flatten and Ravel.mp4
39 NumPy - Inverse of Array
001 Understanding Inverse of Array.en.srt
002 Challenge & Solution.en.srt
001 Understanding Inverse of Array.mp4
002 Challenge & Solution.mp4
06 NumPy - Creating Arrays - (Others)
002 Arrays of Ones.en.srt
001 Array of Zeros.en.srt
003 Empty Arrays.en.srt
005 How to use linspace().en.srt
006 How to use reshape().en.srt
004 How to use arange().en.srt
005 How to use linspace().mp4
001 Array of Zeros.mp4
004 How to use arange().mp4
006 How to use reshape().mp4
002 Arrays of Ones.mp4
003 Empty Arrays.mp4
12 NumPy - Creating an Array from Existing Array
003 Two Conditions.en.srt
001 With Less Than, Greater Than or Equal To.en.srt
002 Even and Odd Numbers.en.srt
003 Two Conditions.mp4
002 Even and Odd Numbers.mp4
001 With Less Than, Greater Than or Equal To.mp4
44 NumPy - Data Visualisation
001 NumPy vs MatPlotLib vs Seaborn.en.srt
003 Challenge & Solution 1.en.srt
002 Installation of MatPlotLib and Seaborn.en.srt
004 Challenge & Solution II.en.srt
003 Challenge & Solution 1.mp4
001 NumPy vs MatPlotLib vs Seaborn.mp4
002 Installation of MatPlotLib and Seaborn.mp4
004 Challenge & Solution II.mp4
26 NumPy - Copying an Array
001 Understand how to Copy an Array.en.srt
002 Understand how to Copy an Array II.en.srt
001 Understand how to Copy an Array.mp4
002 Understand how to Copy an Array II.mp4
55 Pandas - Challenges & Solutions
005 4 - Challenge & Solution - Skip Rows Keep Headers.en.srt
009 6 - Challenge & Solution - Subset of Column.en.srt
001 1 - Pandas Challenge & Solution - Import.en.srt
017 10 - Challenge & Solution - Changing Data Type.en.srt
002 2 - Pandas Challenge & Solution - Data Set Inspection - Shape, DataType & Column.en.srt
003 3 - Challenge & Solution - Skip Rows Reading CSV File.en.srt
007 5 - Challenge & Solution - Read CSV Without Header.en.srt
008 5 - Challenge & Solution - Read CSV Without Header - Code.html
010 6 - Challenge & Solution - Subset of Column - Code.html
018 10 - Challenge & Solution - Changing Data Type - Code.html
006 4 - Challenge & Solution - Skip Rows Keep Headers - Code.html
014 8 - Challenge & Solution - Few Rows, Few Columns - Code.html
004 3 - Challenge & Solution - Skip Rows Reading CSV File - Code.html
016 9 - Challenge & Solution - Time to Import- Code.html
012 7 - Challenge & Solution - Few Rows - Code.html
013 8 - Challenge & Solution - Few Rows, Few Columns.en.srt
011 7 - Challenge & Solution - Few Rows.en.srt
015 9 - Challenge & Solution - Time to Import.en.srt
005 4 - Challenge & Solution - Skip Rows Keep Headers.mp4
009 6 - Challenge & Solution - Subset of Column.mp4
002 2 - Pandas Challenge & Solution - Data Set Inspection - Shape, DataType & Column.mp4
003 3 - Challenge & Solution - Skip Rows Reading CSV File.mp4
017 10 - Challenge & Solution - Changing Data Type.mp4
001 1 - Pandas Challenge & Solution - Import.mp4
007 5 - Challenge & Solution - Read CSV Without Header.mp4
013 8 - Challenge & Solution - Few Rows, Few Columns.mp4
011 7 - Challenge & Solution - Few Rows.mp4
015 9 - Challenge & Solution - Time to Import.mp4
52 Pandas - Load CSV
001 Load CSV in Pandas.en.srt
001 Load CSV in Pandas.mp4
27 NumPy - Array Operators
001 Understanding Array Operators.en.srt
001 Understanding Array Operators.mp4
28 NumPy - Deleting Elements
001 How to delete Array Element I.en.srt
002 How to delete Array Element II.en.srt
003 Challenge & Solution I.en.srt
004 Challenge & Solution II.en.srt
005 Challenge & Solution III.en.srt
006 Challenge & Solution III - Code.html
007 Challenge Yourself.html
008 Solution - Challenge Yourself.html
001 How to delete Array Element I.mp4
002 How to delete Array Element II.mp4
003 Challenge & Solution I.mp4
005 Challenge & Solution III.mp4
004 Challenge & Solution II.mp4
38 NumPy - Determinant
001 Understanding Determinant.en.srt
003 Challenge & Solution - 3 by 3.en.srt
002 Challenge & Solution - 2 by 2.en.srt
001 Understanding Determinant.mp4
003 Challenge & Solution - 3 by 3.mp4
002 Challenge & Solution - 2 by 2.mp4
46 NumPy - Binomial Distribution
001 Binomial Distribution.en.srt
002 Binomial Data Visualisation.en.srt
002 Binomial Data Visualisation.mp4
001 Binomial Distribution.mp4
54 Pandas - JASON
001 Pandas - Load JASON.en.srt
001 Pandas - Load JASON.mp4
11 NumPy - Challenges and Solution - 1-D Array Indexing & Slicing
001 The Challenges.en.srt
002 The Challenges - Text.html
003 Solution to Challenge 1a.en.srt
004 Solution to Challenge 1b.en.srt
005 Solution to Challenge 1c.en.srt
006 Solution to Challenge 1d.en.srt
007 Solution to Challenge 1e.en.srt
008 Solution to Challenge 1f.en.srt
009 Solution to Challenge 1g.en.srt
010 Solution to Challenge 1h.en.srt
011 Solution to Challenge 1i.en.srt
012 Solution to Challenge 1j.en.srt
013 Solution to Challenge 1k.en.srt
014 Solution to Challenge 1l.en.srt
015 Solution to Challenge 1m.en.srt
010 Solution to Challenge 1h.mp4
009 Solution to Challenge 1g.mp4
012 Solution to Challenge 1j.mp4
006 Solution to Challenge 1d.mp4
003 Solution to Challenge 1a.mp4
008 Solution to Challenge 1f.mp4
005 Solution to Challenge 1c.mp4
007 Solution to Challenge 1e.mp4
001 The Challenges.mp4
004 Solution to Challenge 1b.mp4
014 Solution to Challenge 1l.mp4
011 Solution to Challenge 1i.mp4
013 Solution to Challenge 1k.mp4
015 Solution to Challenge 1m.mp4
32 NumPy - Array Multiplication
002 Understanding dot().en.srt
003 Challenge & Solution.en.srt
001 Array Multiplication by a Single Number.en.srt
002 Understanding dot().mp4
003 Challenge & Solution.mp4
001 Array Multiplication by a Single Number.mp4
37 NumPy - Kronecker Product
001 Understanding Kronecker Product.en.srt
001 Understanding Kronecker Product.mp4
63 Pandas - GroupBy
003 Pandas - GroupBy Challenge & Solution.en.srt
001 Pandas - GroupBy Intro.en.srt
004 Pandas - GroupBy Challenge & Solution - Code.html
002 Pandas - GroupBy Intro - Code.html
003 Pandas - GroupBy Challenge & Solution.mp4
001 Pandas - GroupBy Intro.mp4
56 Pandas - Challenges & Solutions
005 Pandas - Total number of Columns and Rows.en.srt
001 Pandas - Summary of Data Set.en.srt
003 Pandas - Subset of Column.en.srt
006 Pandas - Total number of Columns and Rows - Code.html
004 Pandas - Subset of Column - Code.html
007 Pandas - Last Ten Rows.en.srt
008 Pandas - Last Ten Rows - Code.html
002 Pandas - Summary of Data Set - Code.html
005 Pandas - Total number of Columns and Rows.mp4
001 Pandas - Summary of Data Set.mp4
003 Pandas - Subset of Column.mp4
007 Pandas - Last Ten Rows.mp4
40 NumPy - Condition Number
001 Understanding the Condition Number.en.srt
001 Understanding the Condition Number.mp4
60 Pandas - Challenges & Solutions
001 Pandas - nlargest.en.srt
011 Pandas - Return Random Rows.en.srt
005 Pandas - Sort_Values Ascending.en.srt
007 Pandas - Sort_Values for Smallest.en.srt
009 Pandas - Selecting a range of values.en.srt
003 Pandas - nsmallest.en.srt
008 Pandas - Sort_Values for Smallest - Code.html
010 Pandas - Selecting a range of values - Code.html
006 Pandas - Sort_Values Ascending - Code.html
012 Pandas - Return Random Rows - Code.html
004 Pandas - nsmallest - Code.html
002 Pandas - nlargest - Code.html
001 Pandas - nlargest.mp4
011 Pandas - Return Random Rows.mp4
007 Pandas - Sort_Values for Smallest.mp4
005 Pandas - Sort_Values Ascending.mp4
009 Pandas - Selecting a range of values.mp4
003 Pandas - nsmallest.mp4
13 NumPy - Challenges and Solutions - Creating an Array from Existing Array
001 The Challenges.en.srt
002 The Challenges - Text.html
003 Solution to Challenge #1.en.srt
004 Solution to Challenge #2.en.srt
005 Solution to Challenge #3.en.srt
006 Solution to Challenge #4.en.srt
007 Solution to Challenge #5.en.srt
007 Solution to Challenge #5.mp4
006 Solution to Challenge #4.mp4
001 The Challenges.mp4
003 Solution to Challenge #1.mp4
005 Solution to Challenge #3.mp4
004 Solution to Challenge #2.mp4
23 NumPy - Maximum, Minimum and Sum of an Array
002 Minimum, Maximum and Sum Along an Axis.en.srt
001 Minimum, Maximum & Sum.en.srt
002 Minimum, Maximum and Sum Along an Axis.mp4
001 Minimum, Maximum & Sum.mp4
47 Pandas - Intro, Installation & DataFrame
003 Pandas DataFrame.en.srt
001 Pandas Introduction.en.srt
002 Pandas Installation & Import.en.srt
003 Pandas DataFrame.mp4
001 Pandas Introduction.mp4
002 Pandas Installation & Import.mp4
21 NumPy - Reverse
001 Understanding How to Reverse an Array.en.srt
002 Understanding How to Reverse Along an Axis.en.srt
002 Understanding How to Reverse Along an Axis.mp4
001 Understanding How to Reverse an Array.mp4
61 Pandas - Challenges & Solutions
001 Pandas - Reset Index.en.srt
007 Pandas - Selecting Data with Loc & Slicing.en.srt
005 Pandas - Selecting with given Columns and Rows.en.srt
021 Pandas - Zimbabwe & Singapore.en.srt
011 Pandas - Select Data related to Singapore.en.srt
015 Pandas - Generosity between two values.en.srt
009 Pandas - Many ways of Retrieving Column.en.srt
008 Pandas - Selecting Data with Loc & Slicing - Code.html
020 Pandas - Using columns to set condition - Code.html
002 Pandas - Reset Index - Code.html
010 Pandas - Many ways of Retrieving Column - Code.html
022 Pandas - Zimbabwe & Singapore - Code.html
016 Pandas - Generosity between two values - Code.html
014 Pandas - Select years after 2019 - Code.html
018 Pandas - Life expectancy below 40 - Code.html
012 Pandas - Select Data related to Singapore - Code.html
006 Pandas - Selecting with given Columns and Rows - Code.html
004 Pandas - Greater than 0.1 - Code.html
013 Pandas - Select years after 2019.en.srt
019 Pandas - Using columns to set condition.en.srt
017 Pandas - Life expectancy below 40.en.srt
003 Pandas - Greater than 0.1.en.srt
001 Pandas - Reset Index.mp4
007 Pandas - Selecting Data with Loc & Slicing.mp4
021 Pandas - Zimbabwe & Singapore.mp4
011 Pandas - Select Data related to Singapore.mp4
015 Pandas - Generosity between two values.mp4
019 Pandas - Using columns to set condition.mp4
005 Pandas - Selecting with given Columns and Rows.mp4
003 Pandas - Greater than 0.1.mp4
013 Pandas - Select years after 2019.mp4
017 Pandas - Life expectancy below 40.mp4
009 Pandas - Many ways of Retrieving Column.mp4
35 NumPy - Inner Product
001 Understanding Inner Product.en.srt
001 Understanding Inner Product.mp4
15 NumPy - Challenges and Solution - 2-D Array Indexing & Slicing
002 The Challenges - Text.html
003 Solution to Challenge #1.en.srt
004 Solution to Challenge #2.en.srt
005 Solution to Challenge #3.en.srt
006 Solution to Challenge #4.en.srt
007 Solution to Challenge #5.html
008 Solution to Challenge #6.en.srt
009 Solution to Challenge #7.en.srt
001 The Challenges.en.srt
009 Solution to Challenge #7.mp4
006 Solution to Challenge #4.mp4
005 Solution to Challenge #3.mp4
003 Solution to Challenge #1.mp4
008 Solution to Challenge #6.mp4
001 The Challenges.mp4
004 Solution to Challenge #2.mp4
34 NumPy - Outer Product
001 Understanding Outer Product.en.srt
002 Challenge & Solution.en.srt
001 Understanding Outer Product.mp4
002 Challenge & Solution.mp4
51 Pandas - DataFrame
001 Introduction to DataFrame in Pandas.en.srt
003 Challenge & Solution.en.srt
002 Loc.en.srt
001 Introduction to DataFrame in Pandas.mp4
002 Loc.mp4
003 Challenge & Solution.mp4
50 Pandas - Label
002 Creating Series From Dictionary.en.srt
001 Understanding Pandas Label.en.srt
002 Creating Series From Dictionary.mp4
001 Understanding Pandas Label.mp4
31 NumPy - Searching Array
001 Understanding How to Search an Array.en.srt
001 Understanding How to Search an Array.mp4
53 Pandas - Aggregate & Statistics (Min, Max, Sum, Mean, Median, Mode, Summary)
006 Challenge & Solution.en.srt
007 Pandas - Statistical Summary.en.srt
004 Pandas - Mean, Median & Mode - Mexico.en.srt
002 Pandas - Minimum and Maximum - Singapore.en.srt
005 Pandas - Sum.en.srt
008 Pandas - Count.en.srt
001 Pandas - Minimum and Maximum.en.srt
003 Pandas - Mean, Median & Mode.en.srt
002 Pandas - Minimum and Maximum - Singapore.mp4
004 Pandas - Mean, Median & Mode - Mexico.mp4
006 Challenge & Solution.mp4
008 Pandas - Count.mp4
003 Pandas - Mean, Median & Mode.mp4
007 Pandas - Statistical Summary.mp4
005 Pandas - Sum.mp4
001 Pandas - Minimum and Maximum.mp4
24 NumPy - Stacking
001 Array Stacking.en.srt
001 Array Stacking.mp4
49 Pandas - Series
001 Understanding Pandas Series.en.srt
001 Understanding Pandas Series.mp4
20 NumPy - Transpose
001 Understanding Array Transpose.en.srt
001 Understanding Array Transpose.mp4
22 NumPy - Unique Array
001 Creating a Unique Array.en.srt
002 Indexing a Unique Array.en.srt
002 Indexing a Unique Array.mp4
001 Creating a Unique Array.mp4
33 NumPy - Trace
001 Understanding Trace.en.srt
002 Challenge & Solution.en.srt
002 Challenge & Solution.mp4
001 Understanding Trace.mp4
TutsNode.com.txt
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