Torrent Info
Title 2021 NumPy and Pandas A-Z for Deep and Machine Learning
Category XXX
Size 3.18GB
Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 47B
001 1 - Pandas Challenge & Solution - Import.en.srt 2.32KB
001 1 - Pandas Challenge & Solution - Import.mp4 13.19MB
001 Array Multiplication by a Single Number.en.srt 1.18KB
001 Array Multiplication by a Single Number.mp4 4.45MB
001 Array of Zeros.en.srt 3.67KB
001 Array of Zeros.mp4 13.52MB
001 Array Sorting.en.srt 883B
001 Array Sorting.mp4 3.67MB
001 Array Stacking.en.srt 1.46KB
001 Array Stacking.mp4 9.23MB
001 Binomial Distribution.en.srt 2.88KB
001 Binomial Distribution.mp4 8.40MB
001 Creating a Unique Array.en.srt 1006B
001 Creating a Unique Array.mp4 3.80MB
001 First Time Creating an Array.en.srt 1.62KB
001 First Time Creating an Array.mp4 7.08MB
001 Happiness Data Set.html 931B
001 How to append & Insert an Element Into An Array.en.srt 3.91KB
001 How to append & Insert an Element Into An Array.mp4 12.26MB
001 How to delete Array Element I.en.srt 2.95KB
001 How to delete Array Element I.mp4 13.25MB
001 How to find the attributes of an Array - (ndim, shape, sizd, dtype, itemsize).en.srt 7.16KB
001 How to find the attributes of an Array - (ndim, shape, sizd, dtype, itemsize).mp4 30.59MB
001 Installation, Connection & Import.en.srt 9.05KB
001 Installation, Connection & Import.mp4 59.63MB
001 Installing Jupiter Notebook.en.srt 625B
001 Installing Jupiter Notebook.mp4 1.96MB
001 Introduction.en.srt 1.38KB
001 Introduction.mp4 7.17MB
001 Introduction to DataFrame in Pandas.en.srt 1.83KB
001 Introduction to DataFrame in Pandas.mp4 8.75MB
001 Load CSV in Pandas.en.srt 3.22KB
001 Load CSV in Pandas.mp4 16.74MB
001 Minimum, Maximum & Sum.en.srt 735B
001 Minimum, Maximum & Sum.mp4 3.08MB
001 NumPy vs MatPlotLib vs Seaborn.en.srt 3.56KB
001 NumPy vs MatPlotLib vs Seaborn.mp4 23.02MB
001 Pandas - Difference between Loc and iloc.en.srt 4.76KB
001 Pandas - Difference between Loc and iloc.mp4 30.55MB
001 Pandas - Even Columns.en.srt 3.87KB
001 Pandas - Even Columns.mp4 15.14MB
001 Pandas - GroupBy Intro.en.srt 1.84KB
001 Pandas - GroupBy Intro.mp4 8.62MB
001 Pandas - iloc & loc.en.srt 6.11KB
001 Pandas - iloc & loc.mp4 38.62MB
001 Pandas - Importing Excel File.en.srt 1018B
001 Pandas - Importing Excel File.mp4 6.28MB
001 Pandas Introduction.en.srt 1.53KB
001 Pandas Introduction.mp4 6.58MB
001 Pandas - Load JASON.en.srt 2.87KB
001 Pandas - Load JASON.mp4 19.21MB
001 Pandas - Minimum and Maximum.en.srt 661B
001 Pandas - Minimum and Maximum.mp4 3.74MB
001 Pandas - nlargest.en.srt 2.40KB
001 Pandas - nlargest.mp4 22.71MB
001 Pandas - Reset Index.en.srt 2.17KB
001 Pandas - Reset Index.mp4 19.11MB
001 Pandas - Summary of Data Set.en.srt 1.69KB
001 Pandas - Summary of Data Set.mp4 13.96MB
001 Random Number (Integer).en.srt 3.76KB
001 Random Number (Integer).mp4 14.06MB
001 Selecting Elements of 2-D Array.en.srt 1.31KB
001 Selecting Elements of 2-D Array.mp4 5.54MB
001 Selecting Elements of 3-D Array.en.srt 3.00KB
001 Selecting Elements of 3-D Array.mp4 18.10MB
001 Splitting an Array.en.srt 4.43KB
001 Splitting an Array.mp4 30.74MB
001 Summary on Selecting Element From any Dimensional Array.en.srt 5.74KB
001 Summary on Selecting Element From any Dimensional Array.mp4 30.78MB
001 The Challenges.en.srt 1.58KB
001 The Challenges.en.srt 584B
001 The Challenges.en.srt 584B
001 The Challenges.en.srt 580B
001 The Challenges.en.srt 545B
001 The Challenges.en.srt 471B
001 The Challenges.mp4 8.83MB
001 The Challenges.mp4 4.73MB
001 The Challenges.mp4 3.35MB
001 The Challenges.mp4 3.34MB
001 The Challenges.mp4 2.80MB
001 The Challenges.mp4 1.94MB
001 Understand how to Copy an Array.en.srt 3.44KB
001 Understand how to Copy an Array.mp4 21.84MB
001 Understanding Array Flatten and Ravel.en.srt 3.85KB
001 Understanding Array Flatten and Ravel.mp4 26.36MB
001 Understanding Array Operators.en.srt 3.07KB
001 Understanding Array Operators.mp4 15.40MB
001 Understanding Array Transpose.en.srt 1.17KB
001 Understanding Array Transpose.mp4 6.39MB
001 Understanding Cross Product.en.srt 1.58KB
001 Understanding Cross Product.mp4 5.19MB
001 Understanding Determinant.en.srt 2.94KB
001 Understanding Determinant.mp4 12.24MB
001 Understanding how indexing and Slicing work on 1-D Arrays.en.srt 16.97KB
001 Understanding how indexing and Slicing work on 1-D Arrays.mp4 57.89MB
001 Understanding How to Reverse an Array.en.srt 2.20KB
001 Understanding How to Reverse an Array.mp4 8.96MB
001 Understanding How to Search an Array.en.srt 1.60KB
001 Understanding How to Search an Array.mp4 6.07MB
001 Understanding Inner Product.en.srt 2.15KB
001 Understanding Inner Product.mp4 8.09MB
001 Understanding Inverse of Array.en.srt 3.79KB
001 Understanding Inverse of Array.mp4 12.73MB
001 Understanding Kronecker Product.en.srt 2.84KB
001 Understanding Kronecker Product.mp4 11.59MB
001 Understanding Newaxis.en.srt 6.55KB
001 Understanding Newaxis.mp4 32.91MB
001 Understanding NumPy Data Type.en.srt 9.02KB
001 Understanding NumPy Data Type.mp4 47.95MB
001 Understanding Outer Product.en.srt 2.13KB
001 Understanding Outer Product.mp4 8.57MB
001 Understanding Pandas Label.en.srt 1.71KB
001 Understanding Pandas Label.mp4 6.19MB
001 Understanding Pandas Series.en.srt 1.35KB
001 Understanding Pandas Series.mp4 4.87MB
001 Understanding Random Seed.en.srt 5.72KB
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001 Understanding the Condition Number.en.srt 2.53KB
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001 Understanding Trace.en.srt 650B
001 Understanding Trace.mp4 2.17MB
001 What is Data Distribution_.en.srt 1.58KB
001 What is Data Distribution_.mp4 5.96MB
001 What is Normal Distribution.en.srt 4.72KB
001 What is Normal Distribution.mp4 18.85MB
001 What is NumPy.en.srt 1.63KB
001 What is NumPy.mp4 5.32MB
001 With Less Than, Greater Than or Equal To.en.srt 625B
001 With Less Than, Greater Than or Equal To.mp4 2.79MB
002 2 - Pandas Challenge & Solution - Data Set Inspection - Shape, DataType & Column.en.srt 1.92KB
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002 Array Concatenation.en.srt 3.95KB
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002 Arrays of Ones.en.srt 1.02KB
002 Arrays of Ones.mp4 4.44MB
002 Binomial Data Visualisation.en.srt 2.02KB
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002 Challenge & Solution.en.srt 664B
002 Challenge & Solution.en.srt 714B
002 Challenge & Solution.en.srt 420B
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002 Challenge & Solution.mp4 2.83MB
002 Challenge & Solution.mp4 1.16MB
002 Challenge & Solution - 2 by 2.en.srt 622B
002 Challenge & Solution - 2 by 2.mp4 3.29MB
002 Challenge & Solution - I.en.srt 1.55KB
002 Challenge & Solution - I.mp4 6.84MB
002 Creating an Array from a Tuple.en.srt 1.09KB
002 Creating an Array from a Tuple.mp4 4.15MB
002 Creating Series From Dictionary.en.srt 1.75KB
002 Creating Series From Dictionary.mp4 6.51MB
002 Even and Odd Numbers.en.srt 1.38KB
002 Even and Odd Numbers.mp4 3.98MB
002 Forcing a Data Type of an Array.en.srt 5.32KB
002 Forcing a Data Type of an Array.mp4 22.20MB
002 How to append & Insert Elements Into An Array.en.srt 1.10KB
002 How to append & Insert Elements Into An Array.mp4 5.99MB
002 How to delete Array Element II.en.srt 2.50KB
002 How to delete Array Element II.mp4 11.10MB
002 Indexing a Unique Array.en.srt 1.31KB
002 Indexing a Unique Array.mp4 4.95MB
002 Installation, Connection & Import - Code.html 1.18KB
002 Installation of MatPlotLib and Seaborn.en.srt 1.88KB
002 Installation of MatPlotLib and Seaborn.mp4 11.20MB
002 Installing of NumPy.en.srt 625B
002 Installing of NumPy.mp4 1.96MB
002 Loc.en.srt 1022B
002 Loc.mp4 4.37MB
002 Minimum, Maximum and Sum Along an Axis.en.srt 2.30KB
002 Minimum, Maximum and Sum Along an Axis.mp4 13.15MB
002 Normal Distribution Visualisation.en.srt 2.61KB
002 Normal Distribution Visualisation.mp4 12.50MB
002 Pandas - Checking for NaN.en.srt 5.00KB
002 Pandas - Checking for NaN.mp4 37.94MB
002 Pandas - Difference between Loc and iloc - more.en.srt 8.39KB
002 Pandas - Difference between Loc and iloc - more.mp4 61.77MB
002 Pandas - Even Columns - Code.html 952B
002 Pandas - GroupBy Intro - Code.html 951B
002 Pandas - iloc & loc - code.html 986B
002 Pandas - Importing Excel File - Code.html 1015B
002 Pandas Installation & Import.en.srt 873B
002 Pandas Installation & Import.mp4 3.60MB
002 Pandas - Minimum and Maximum - Singapore.en.srt 1.34KB
002 Pandas - Minimum and Maximum - Singapore.mp4 11.69MB
002 Pandas - nlargest - Code.html 937B
002 Pandas - Reset Index - Code.html 1003B
002 Pandas - Summary of Data Set - Code.html 983B
002 Random Number (Float).en.srt 560B
002 Random Number (Float).mp4 2.24MB
002 Random Seed With Choice().en.srt 3.36KB
002 Random Seed With Choice().mp4 17.20MB
002 Sales Data Set.html 920B
002 Slicing a 3-D Array.en.srt 3.22KB
002 Slicing a 3-D Array.mp4 18.00MB
002 Slicing In 2-D Array.en.srt 5.09KB
002 Slicing In 2-D Array.mp4 28.04MB
002 Splitting an Array on a Specific Column.en.srt 2.24KB
002 Splitting an Array on a Specific Column.mp4 14.02MB
002 The Challenges - text.html 1.56KB
002 The Challenges - Text.html 1.78KB
002 The Challenges - Text.html 1.78KB
002 The Challenges - Text.html 1.20KB
002 The Challenges - Text.html 1.78KB
002 The Challenges - Text.html 1.24KB
002 Understand how to Copy an Array II.en.srt 3.19KB
002 Understand how to Copy an Array II.mp4 15.34MB
002 Understanding dot().en.srt 2.85KB
002 Understanding dot().mp4 10.18MB
002 Understanding How to Reverse Along an Axis.en.srt 2.07KB
002 Understanding How to Reverse Along an Axis.mp4 11.00MB
002 What is Arrray.en.srt 2.52KB
002 What is Arrray.mp4 7.07MB
002 What is Random Distribution_.en.srt 7.56KB
002 What is Random Distribution_.mp4 29.56MB
003 3 - Challenge & Solution - Skip Rows Reading CSV File.en.srt 1.52KB
003 3 - Challenge & Solution - Skip Rows Reading CSV File.mp4 15.53MB
003 Challenge & Solution.en.srt 1.72KB
003 Challenge & Solution.en.srt 1.31KB
003 Challenge & Solution.mp4 7.03MB
003 Challenge & Solution.mp4 4.27MB
003 Challenge & Solution 1.en.srt 3.56KB
003 Challenge & Solution 1.mp4 26.12MB
003 Challenge & Solution - 3 by 3.en.srt 2.57KB
003 Challenge & Solution - 3 by 3.mp4 9.24MB
003 Challenge & Solution I.en.srt 1.00KB
003 Challenge & Solution I.mp4 4.75MB
003 Challenge & Solution - II.en.srt 4.11KB
003 Challenge & Solution - II.mp4 16.47MB
003 Creating a Zero Dimensional Array.en.srt 3.52KB
003 Creating a Zero Dimensional Array.mp4 20.46MB
003 Empty Arrays.en.srt 1.38KB
003 Empty Arrays.mp4 2.88MB
003 Importing Fewer Columns From SQL to Pandas.en.srt 3.13KB
003 Importing Fewer Columns From SQL to Pandas.mp4 20.61MB
003 Importing NumPy.en.srt 738B
003 Importing NumPy.mp4 1.72MB
003 More on Slicing.en.srt 8.56KB
003 More on Slicing.mp4 36.02MB
003 Northwind Database.html 931B
003 Pandas - Checking for NaN - Code.html 1.05KB
003 Pandas - Cleaning Excel Data Set While Importing.en.srt 7.68KB
003 Pandas - Cleaning Excel Data Set While Importing.mp4 55.41MB
003 Pandas DataFrame.en.srt 2.30KB
003 Pandas DataFrame.mp4 10.68MB
003 Pandas - Difference between head and tail.en.srt 1.48KB
003 Pandas - Difference between head and tail.mp4 12.00MB
003 Pandas - Even Columns Without Using Range.en.srt 5.47KB
003 Pandas - Even Columns Without Using Range.mp4 30.33MB
003 Pandas - Greater than 0.1.en.srt 598B
003 Pandas - Greater than 0.1.mp4 7.63MB
003 Pandas - GroupBy Challenge & Solution.en.srt 2.69KB
003 Pandas - GroupBy Challenge & Solution.mp4 23.13MB
003 Pandas - Mean, Median & Mode.en.srt 638B
003 Pandas - Mean, Median & Mode.mp4 6.53MB
003 Pandas - nsmallest.en.srt 1.45KB
003 Pandas - nsmallest.mp4 14.22MB
003 Pandas - Subset of Column.en.srt 1.58KB
003 Pandas - Subset of Column.mp4 13.36MB
003 Pandas - Without Using Tail or iLoc Get Last Row.en.srt 4.40KB
003 Pandas - Without Using Tail or iLoc Get Last Row.mp4 25.27MB
003 Random Arrays.en.srt 4.26KB
003 Random Arrays.mp4 17.05MB
003 Random Distribution 2-D and 3-D Array.en.srt 1.20KB
003 Random Distribution 2-D and 3-D Array.mp4 5.44MB
003 Solution to Challenge #1.en.srt 448B
003 Solution to Challenge #1.en.srt 439B
003 Solution to Challenge #1.en.srt 1.38KB
003 Solution to Challenge #1.mp4 10.35MB
003 Solution to Challenge #1.mp4 4.95MB
003 Solution to Challenge #1.mp4 2.75MB
003 Solution to Challenge 1a.en.srt 587B
003 Solution to Challenge 1a.en.srt 3.59KB
003 Solution to Challenge 1a.en.srt 1.13KB
003 Solution to Challenge 1a.mp4 17.17MB
003 Solution to Challenge 1a.mp4 5.28MB
003 Solution to Challenge 1a.mp4 3.76MB
003 Two Conditions.en.srt 3.57KB
003 Two Conditions.mp4 15.27MB
003 Types of Array.en.srt 753B
003 Types of Array.mp4 3.18MB
004 3 - Challenge & Solution - Skip Rows Reading CSV File - Code.html 1001B
004 Avoiding Errors of _Multiple Arguments_.en.srt 3.99KB
004 Avoiding Errors of _Multiple Arguments_.mp4 13.56MB
004 Challenge & Solution II.en.srt 1.02KB
004 Challenge & Solution II.en.srt 532B
004 Challenge & Solution II.mp4 4.21MB
004 Challenge & Solution II.mp4 3.34MB
004 How to use arange().en.srt 3.53KB
004 How to use arange().mp4 10.86MB
004 Importing Fewer Columns From SQL to Pandas - Code.html 1011B
004 Pandas - Cleaning Excel Data Set While Importing - Code.html 1.97KB
004 Pandas - Difference between head and tail - Code.html 1008B
004 Pandas - Even Columns Without Using Range - Code.html 947B
004 Pandas - Greater than 0.1 - Code.html 942B
004 Pandas - GroupBy Challenge & Solution - Code.html 1.08KB
004 Pandas - Mean, Median & Mode - Mexico.en.srt 1.34KB
004 Pandas - Mean, Median & Mode - Mexico.mp4 11.38MB
004 Pandas - nsmallest - Code.html 942B
004 Pandas - Removing NaN.en.srt 2.95KB
004 Pandas - Removing NaN.mp4 22.12MB
004 Pandas - Subset of Column - Code.html 1.06KB
004 Pandas - Without Using Tail or iLoc Get Last Row - Code.html 963B
004 Random Choice.en.srt 904B
004 Random Choice.mp4 5.08MB
004 Solution to Challenge #2.en.srt 671B
004 Solution to Challenge #2.en.srt 116B
004 Solution to Challenge #2.en.srt 447B
004 Solution to Challenge #2.mp4 4.50MB
004 Solution to Challenge #2.mp4 2.27MB
004 Solution to Challenge #2.mp4 1.67MB
004 Solution to Challenge 1b.en.srt 1.23KB
004 Solution to Challenge 1b.en.srt 1.15KB
004 Solution to Challenge 1b.en.srt 571B
004 Solution to Challenge 1b.mp4 7.10MB
004 Solution to Challenge 1b.mp4 5.58MB
004 Solution to Challenge 1b.mp4 3.21MB
004 What is Dimension.en.srt 4.91KB
004 What is Dimension.mp4 19.77MB
005 4 - Challenge & Solution - Skip Rows Keep Headers.en.srt 3.26KB
005 4 - Challenge & Solution - Skip Rows Keep Headers.mp4 27.30MB
005 Challenge & Solution III.en.srt 1.02KB
005 Challenge & Solution III.mp4 3.35MB
005 Choice with 2-D and 3-D Array.en.srt 1.80KB
005 Choice with 2-D and 3-D Array.mp4 9.28MB
005 Creating a 1-D Array.en.srt 902B
005 Creating a 1-D Array.mp4 2.78MB
005 Exploring - Row Before Column - Why_.en.srt 10.40KB
005 Exploring - Row Before Column - Why_.mp4 36.61MB
005 How to use linspace().en.srt 3.57KB
005 How to use linspace().mp4 15.49MB
005 Pandas - Removing NaN - Code.html 986B
005 Pandas - Saving an Excel File.en.srt 1.53KB
005 Pandas - Saving an Excel File.mp4 9.14MB
005 Pandas - Selecting with given Columns and Rows.en.srt 1.66KB
005 Pandas - Selecting with given Columns and Rows.mp4 7.66MB
005 Pandas - Sort_Values Ascending.en.srt 2.12KB
005 Pandas - Sort_Values Ascending.mp4 19.44MB
005 Pandas - Specific Row.en.srt 2.33KB
005 Pandas - Specific Row.mp4 19.78MB
005 Pandas - Sum.en.srt 1.07KB
005 Pandas - Sum.mp4 4.93MB
005 Pandas - Total number of Columns and Rows.en.srt 2.56KB
005 Pandas - Total number of Columns and Rows.mp4 15.39MB
005 Pandas - Using Head, Loc & iLoc to Achieve the Same Result.en.srt 755B
005 Pandas - Using Head, Loc & iLoc to Achieve the Same Result.mp4 7.92MB
005 Pandas - Using Range.en.srt 3.31KB
005 Pandas - Using Range.mp4 26.26MB
005 Querying SQL Database from Pandas.en.srt 2.85KB
005 Querying SQL Database from Pandas.mp4 15.94MB
005 Solution to Challenge #3.en.srt 622B
005 Solution to Challenge #3.en.srt 1.08KB
005 Solution to Challenge #3.en.srt 1.04KB
005 Solution to Challenge #3.mp4 8.14MB
005 Solution to Challenge #3.mp4 5.33MB
005 Solution to Challenge #3.mp4 2.50MB
005 Solution to Challenge 1c.en.srt 2.13KB
005 Solution to Challenge 1c.en.srt 1.57KB
005 Solution to Challenge 1c.en.srt 733B
005 Solution to Challenge 1c.mp4 11.18MB
005 Solution to Challenge 1c.mp4 7.78MB
005 Solution to Challenge 1c.mp4 3.77MB
006 4 - Challenge & Solution - Skip Rows Keep Headers - Code.html 1018B
006 Challenge & Solution.en.srt 1.55KB
006 Challenge & Solution.mp4 9.08MB
006 Challenge & Solution III - Code.html 985B
006 Creating a 2-D Array.en.srt 1.23KB
006 Creating a 2-D Array.mp4 4.50MB
006 How to use reshape().en.srt 2.48KB
006 How to use reshape().mp4 7.92MB
006 Identifying an Array.en.srt 9.14KB
006 Identifying an Array.mp4 31.08MB
006 Pandas - Removing NaN II.en.srt 2.66KB
006 Pandas - Removing NaN II.mp4 21.58MB
006 Pandas - Saving an Excel File - Code.html 989B
006 Pandas - Selecting with given Columns and Rows - Code.html 968B
006 Pandas - Sort_Values Ascending - Code.html 962B
006 Pandas - Specific Row - Code.html 1005B
006 Pandas - Total number of Columns and Rows - Code.html 1.06KB
006 Pandas - Using Head, Loc & iLoc to Achieve the Same Result - Code.html 1003B
006 Pandas - Using Range - Code.html 933B
006 Querying SQL Database from Pandas - Code.html 1.13KB
006 Solution to Challenge #4.en.srt 2.33KB
006 Solution to Challenge #4.en.srt 483B
006 Solution to Challenge #4.en.srt 800B
006 Solution to Challenge #4.mp4 10.49MB
006 Solution to Challenge #4.mp4 5.94MB
006 Solution to Challenge #4.mp4 3.86MB
006 Solution to Challenge 1d.en.srt 2.04KB
006 Solution to Challenge 1d.en.srt 1.10KB
006 Solution to Challenge 1d.mp4 12.03MB
006 Solution to Challenge 1d.mp4 6.03MB
006 Solution to Challenge 2a.en.srt 1.23KB
006 Solution to Challenge 2a.mp4 6.35MB
007 5 - Challenge & Solution - Read CSV Without Header.en.srt 1.44KB
007 5 - Challenge & Solution - Read CSV Without Header.mp4 10.58MB
007 Challenge Yourself.html 1008B
007 Creating a 3-D Array.en.srt 3.35KB
007 Creating a 3-D Array.mp4 15.65MB
007 Creating Table in SQL from Pandas.en.srt 4.93KB
007 Creating Table in SQL from Pandas.mp4 34.21MB
007 Pandas _ Save Excel File Without Index.en.srt 1.21KB
007 Pandas _ Save Excel File Without Index.mp4 7.21MB
007 Pandas - Another Selection Trick.en.srt 3.08KB
007 Pandas - Another Selection Trick.mp4 13.97MB
007 Pandas - Column.en.srt 266B
007 Pandas - Column.mp4 1.32MB
007 Pandas - Last Ten Rows.en.srt 1.00KB
007 Pandas - Last Ten Rows.mp4 7.46MB
007 Pandas - Replacing NaN with a value.en.srt 6.72KB
007 Pandas - Replacing NaN with a value.mp4 50.55MB
007 Pandas - Selecting Data with Loc & Slicing.en.srt 1.97KB
007 Pandas - Selecting Data with Loc & Slicing.mp4 14.23MB
007 Pandas - Sort_Values for Smallest.en.srt 2.11KB
007 Pandas - Sort_Values for Smallest.mp4 19.94MB
007 Pandas - Statistical Summary.en.srt 1.42KB
007 Pandas - Statistical Summary.mp4 6.17MB
007 Pandas - Using tail, loc and iloc for last row.en.srt 3.31KB
007 Pandas - Using tail, loc and iloc for last row.mp4 17.55MB
007 Scalar vs Vector vs Matrix vs Tensor.en.srt 9.03KB
007 Scalar vs Vector vs Matrix vs Tensor.mp4 25.31MB
007 Solution to Challenge #5.en.srt 2.05KB
007 Solution to Challenge #5.en.srt 1.93KB
007 Solution to Challenge #5.html 983B
007 Solution to Challenge #5.mp4 12.26MB
007 Solution to Challenge #5.mp4 9.12MB
007 Solution to Challenge 1e.en.srt 1.14KB
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007 Solution to Challenge 1e.mp4 3.56MB
007 Solution to Challenge 2b.en.srt 1.23KB
007 Solution to Challenge 2b.mp4 6.36MB
008 5 - Challenge & Solution - Read CSV Without Header - Code.html 1.07KB
008 Creating Table in SQL from Pandas - Code.html 1.13KB
008 Pandas _ Save Excel File Without Index - Code.html 985B
008 Pandas - Another Selection Trick - Code.html 1008B
008 Pandas - Column - Code.html 916B
008 Pandas - Count.en.srt 1.07KB
008 Pandas - Count.mp4 7.15MB
008 Pandas - Last Ten Rows - Code.html 1007B
008 Pandas - Replacing NaN with a value - Code.html 953B
008 Pandas - Selecting Data with Loc & Slicing - Code.html 1.01KB
008 Pandas - Sort_Values for Smallest - Code.html 975B
008 Pandas - Using tail, loc and iloc for last row - Code.html 996B
008 Solution - Challenge Yourself.html 1020B
008 Solution to Challenge #6.en.srt 362B
008 Solution to Challenge #6.en.srt 791B
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008 Solution to Challenge #6.mp4 2.36MB
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008 Solution to Challenge 2c.en.srt 819B
008 Solution to Challenge 2c.mp4 5.06MB
009 6 - Challenge & Solution - Subset of Column.en.srt 3.02KB
009 6 - Challenge & Solution - Subset of Column.mp4 21.99MB
009 Pandas - Filtering Greater Than.en.srt 1.34KB
009 Pandas - Filtering Greater Than.mp4 8.34MB
009 Pandas - Many ways of Retrieving Column.en.srt 1.06KB
009 Pandas - Many ways of Retrieving Column.mp4 5.67MB
009 Pandas - Replacing NaN in one Column.en.srt 2.45KB
009 Pandas - Replacing NaN in one Column.mp4 19.04MB
009 Pandas - Selecting a range of values.en.srt 2.00KB
009 Pandas - Selecting a range of values.mp4 18.39MB
009 Pandas - Shifting an Excel Sheet.en.srt 1.94KB
009 Pandas - Shifting an Excel Sheet.mp4 15.26MB
009 read_sql() method - A two in one Method.en.srt 3.90KB
009 read_sql() method - A two in one Method.mp4 22.51MB
009 Solution to Challenge #7.en.srt 3.95KB
009 Solution to Challenge #7.en.srt 1.31KB
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009 Solution to Challenge #7.mp4 8.57MB
009 Solution to Challenge 1g.en.srt 1.85KB
009 Solution to Challenge 1g.mp4 6.71MB
009 Solution to Challenge 2b.en.srt 532B
009 Solution to Challenge 2b.mp4 2.98MB
009 Solution to Challenge 2d.en.srt 690B
009 Solution to Challenge 2d.mp4 3.13MB
010 6 - Challenge & Solution - Subset of Column - Code.html 1.06KB
010 Pandas - Filtering Greater Than - Code.html 946B
010 Pandas - Many ways of Retrieving Column - Code.html 1002B
010 Pandas - Replacing NaN in one Column - Code.html 1.13KB
010 Pandas - Selecting a range of values - Code.html 969B
010 Pandas - Shifting an Excel Sheet - Code.html 1003B
010 read_sql() method - A two in one Method - Code.html 1.40KB
010 Solution to Challenge #8.en.srt 948B
010 Solution to Challenge #8.mp4 6.75MB
010 Solution to Challenge 1h.en.srt 1.85KB
010 Solution to Challenge 1h.mp4 7.79MB
010 Solution to Challenge 2c.en.srt 3.62KB
010 Solution to Challenge 2c.mp4 22.93MB
010 Solution to Challenge 2e.en.srt 972B
010 Solution to Challenge 2e.mp4 4.25MB
011 7 - Challenge & Solution - Few Rows.en.srt 808B
011 7 - Challenge & Solution - Few Rows.mp4 5.55MB
011 Pandas - Filtering Greater Than with Fewer Rows.en.srt 1.31KB
011 Pandas - Filtering Greater Than with Fewer Rows.mp4 12.00MB
011 Pandas - Replacing NaN with mean, mode & median.en.srt 2.44KB
011 Pandas - Replacing NaN with mean, mode & median.mp4 12.37MB
011 Pandas - Return Random Rows.en.srt 2.35KB
011 Pandas - Return Random Rows.mp4 22.01MB
011 Pandas - Select Data related to Singapore.en.srt 1.49KB
011 Pandas - Select Data related to Singapore.mp4 11.25MB
011 Solution to Challenge #9.en.srt 805B
011 Solution to Challenge #9.mp4 7.07MB
011 Solution to Challenge 1i.en.srt 629B
011 Solution to Challenge 1i.mp4 2.74MB
011 Solution to Challenge 2d.en.srt 768B
011 Solution to Challenge 2d.mp4 4.63MB
011 Solution to Challenge 2f.en.srt 870B
011 Solution to Challenge 2f.mp4 3.91MB
012 7 - Challenge & Solution - Few Rows - Code.html 982B
012 Pandas - Data Cleaning - Sales.en.srt 6.47KB
012 Pandas - Data Cleaning - Sales.mp4 46.18MB
012 Pandas - Filtering Greater Than with Fewer Rows - Code.html 966B
012 Pandas - Return Random Rows - Code.html 961B
012 Pandas - Select Data related to Singapore - Code.html 971B
012 Solution to Challenge #10.en.srt 2.62KB
012 Solution to Challenge #10.mp4 16.42MB
012 Solution to Challenge #3.en.srt 1.46KB
012 Solution to Challenge #3.mp4 7.47MB
012 Solution to Challenge 1j.en.srt 1.64KB
012 Solution to Challenge 1j.mp4 6.23MB
012 Solution to Challenge 2e.en.srt 907B
012 Solution to Challenge 2e.mp4 4.70MB
013 8 - Challenge & Solution - Few Rows, Few Columns.en.srt 960B
013 8 - Challenge & Solution - Few Rows, Few Columns.mp4 6.22MB
013 Pandas - Data Cleaning - Sales -Code.html 1.20KB
013 Pandas - Select years after 2019.en.srt 935B
013 Pandas - Select years after 2019.mp4 7.57MB
013 Solution to Challenge #11.en.srt 2.55KB
013 Solution to Challenge #11.mp4 20.45MB
013 Solution to Challenge #4.en.srt 4.30KB
013 Solution to Challenge #4.mp4 25.06MB
013 Solution to Challenge 1k.en.srt 281B
013 Solution to Challenge 1k.mp4 2.34MB
013 Solution to Challenge 2f.en.srt 1.42KB
013 Solution to Challenge 2f.mp4 5.95MB
014 8 - Challenge & Solution - Few Rows, Few Columns - Code.html 1010B
014 Pandas - Select years after 2019 - Code.html 977B
014 Solution to Challenge #12.en.srt 1.02KB
014 Solution to Challenge #12.mp4 8.00MB
014 Solution to Challenge 1l.en.srt 344B
014 Solution to Challenge 1l.mp4 3.15MB
015 9 - Challenge & Solution - Time to Import.en.srt 775B
015 9 - Challenge & Solution - Time to Import.mp4 3.94MB
015 Pandas - Generosity between two values.en.srt 1.35KB
015 Pandas - Generosity between two values.mp4 10.67MB
015 Solution to Challenge #13.en.srt 493B
015 Solution to Challenge #13.mp4 5.57MB
015 Solution to Challenge 1m.en.srt 228B
015 Solution to Challenge 1m.mp4 1.27MB
016 9 - Challenge & Solution - Time to Import- Code.html 991B
016 Pandas - Generosity between two values - Code.html 986B
016 Solution to Challenge #14.en.srt 1.35KB
016 Solution to Challenge #14.mp4 8.98MB
017 10 - Challenge & Solution - Changing Data Type.en.srt 2.27KB
017 10 - Challenge & Solution - Changing Data Type.mp4 14.59MB
017 Pandas - Life expectancy below 40.en.srt 716B
017 Pandas - Life expectancy below 40.mp4 5.92MB
017 Solution to Challenge #15.en.srt 1.16KB
017 Solution to Challenge #15.mp4 7.34MB
018 10 - Challenge & Solution - Changing Data Type - Code.html 1.00KB
018 Pandas - Life expectancy below 40 - Code.html 976B
018 Solution to Challenge #16.en.srt 1.86KB
018 Solution to Challenge #16.mp4 12.90MB
019 Pandas - Using columns to set condition.en.srt 814B
019 Pandas - Using columns to set condition.mp4 8.19MB
019 Solution to Challenge #17.en.srt 975B
019 Solution to Challenge #17.mp4 5.27MB
020 Pandas - Using columns to set condition - Code.html 1.01KB
021 Pandas - Zimbabwe & Singapore.en.srt 1.53KB
021 Pandas - Zimbabwe & Singapore.mp4 12.69MB
022 Pandas - Zimbabwe & Singapore - Code.html 1000B
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181 690.76KB
181 Sales_data.csv 12.44KB
182 692.18KB
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TutsNode.com.txt 63B
Distribution statistics by country
Italy (IT) 1
Republic of Korea (KR) 1
Vietnam (VN) 1
Ukraine (UA) 1
United States (US) 1
United Arab Emirates (AE) 1
Denmark (DK) 1
Total 7
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