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Data Visualization with Python Masterclass  Python A-Z
Language: English | Size:5.41 GB
Genre:eLearning

Files Included :

001 Introduction to Data Visualization with Python.mp4 (12.05 MB)
MP4
001 Installing Anaconda Distribution For Windows.mp4 (122.67 MB)
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002 Installing Anaconda Distribution For Mac.mp4 (47.4 MB)
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003 Installing Anaconda Distribution For Linux.mp4 (119.82 MB)
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004 Overview of Jupyter Notebook and Google Colab.mp4 (25.62 MB)
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001 Data Types in Python.mp4 (41.08 MB)
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002 Operators in Python.mp4 (29.62 MB)
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003 Conditionals in Python.mp4 (34.64 MB)
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004 Loops in Python.mp4 (49.11 MB)
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005 Lists, Tuples, Dictionaries and Sets in pyhton.mp4 (66.34 MB)
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006 Data Type Operators and Methods in Python.mp4 (40.46 MB)
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007 Modules in Python.mp4 (21.07 MB)
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008 Functions in Python.mp4 (26.06 MB)
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009 Exercise - Analyse in Python.mp4 (5.7 MB)
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010 Exercise - Solution in Python.mp4 (47.69 MB)
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001 Logic of Object Oriented Programming.mp4 (16.38 MB)
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002 Constructor in Object Oriented Programming (OOP).mp4 (27.52 MB)
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003 Methods in Object Oriented Programming (OOP).mp4 (23.63 MB)
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004 Inheritance in Object Oriented Programming (OOP).mp4 (32.63 MB)
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005 Overriding and Overloading in Object Oriented Programming (OOP).mp4 (58.84 MB)
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001 What is Data Science.mp4 (22.66 MB)
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002 Data Literacy.mp4 (10.27 MB)
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003 Introduction to NumPy Library.mp4 (43.39 MB)
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005 The Power of NumPy.mp4 (55.65 MB)
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007 Creating NumPy Array with The Array() Function.mp4 (27.34 MB)
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008 Creating NumPy Array with Zeros() Function.mp4 (22.76 MB)
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009 Creating NumPy Array with Ones() Function.mp4 (14.94 MB)
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010 Creating NumPy Array with Full() Function.mp4 (10.49 MB)
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011 Creating NumPy Array with Arange() Function.mp4 (11.44 MB)
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012 Creating NumPy Array with Eye() Function.mp4 (11.8 MB)
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013 Creating NumPy Array with Linspace() Function.mp4 (6.86 MB)
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014 Creating NumPy Array with Random() Function.mp4 (39.92 MB)
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015 Properties of NumPy Array.mp4 (20.64 MB)
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016 Reshaping a NumPy Array Reshape() Function.mp4 (24.49 MB)
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017 Identifying the Largest Element of a Numpy Array.mp4 (14.33 MB)
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018 Detecting Least Element of Numpy Array Min(), Ar.mp4 (9.53 MB)
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019 Concatenating Numpy Arrays Concatenate() Functio.mp4 (35.83 MB)
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020 Splitting One-Dimensional Numpy Arrays The Split.mp4 (19.42 MB)
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021 Splitting Two-Dimensional Numpy Arrays Split(),.mp4 (33.27 MB)
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022 Sorting Numpy Arrays Sort() Function.mp4 (15.71 MB)
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023 Indexing Numpy Arrays.mp4 (24.66 MB)
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024 Slicing One-Dimensional Numpy Arrays.mp4 (20.83 MB)
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025 Slicing Two-Dimensional Numpy Arrays.mp4 (31.43 MB)
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026 Assigning Value to One-Dimensional Arrays.mp4 (16.92 MB)
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027 Assigning Value to Two-Dimensional Array.mp4 (32.47 MB)
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028 Fancy Indexing of One-Dimensional Arrrays.mp4 (19.04 MB)
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029 Fancy Indexing of Two-Dimensional Arrrays.mp4 (42.65 MB)
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030 Combining Fancy Index with Normal Indexing.mp4 (11.88 MB)
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031 Combining Fancy Index with Normal Slicing.mp4 (15.45 MB)
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032 Operations with Comparison Operators.mp4 (19.84 MB)
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033 Arithmetic Operations in Numpy.mp4 (67.04 MB)
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034 Statistical Operations in Numpy.mp4 (30.19 MB)
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035 Solving Second-Degree Equations with NumPy.mp4 (22.41 MB)
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036 Introduction to Pandas Library.mp4 (32.28 MB)
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038 Creating a Pandas Series with a List.mp4 (36.26 MB)
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039 Creating a Pandas Series with a Dictionary.mp4 (16.83 MB)
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040 Creating Pandas Series with NumPy Array.mp4 (11.01 MB)
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041 Object Types in Series.mp4 (17.95 MB)
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042 Examining the Primary Features of the Pandas Series.mp4 (17.41 MB)
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043 Most Applied Methods on Pandas Series.mp4 (44.09 MB)
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044 Indexing and Slicing Pandas Series.mp4 (26.89 MB)
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045 Creating Pandas DataFrame with List.mp4 (21.15 MB)
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046 Creating Pandas DataFrame with NumPy Array.mp4 (11.19 MB)
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047 Creating Pandas DataFrame with Dictionary.mp4 (14.73 MB)
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048 Examining the Properties of Pandas DataFrames.mp4 (23.87 MB)
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049 Element Selection Operations in Pandas DataFrames Lesson 1.mp4 (27.45 MB)
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050 Element Selection Operations in Pandas DataFrames Lesson 2.mp4 (29.37 MB)
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051 Top Level Element Selection in Pandas DataFramesLesson 1.mp4 (35.49 MB)
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052 Top Level Element Selection in Pandas DataFramesLesson 2.mp4 (29 MB)
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053 Top Level Element Selection in Pandas DataFramesLesson 3.mp4 (20.54 MB)
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054 Element Selection with Conditional Operations in Pandas Data Frames.mp4 (42.54 MB)
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055 Adding Columns to Pandas Data Frames.mp4 (31.05 MB)
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056 Removing Rows and Columns from Pandas Data frames.mp4 (14.4 MB)
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057 Null Values ​​in Pandas Dataframes.mp4 (62.35 MB)
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058 Dropping Null Values Dropna() Function.mp4 (31.75 MB)
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059 Filling Null Values Fillna() Function.mp4 (47.9 MB)
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060 Setting Index in Pandas DataFrames.mp4 (36.41 MB)
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061 Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 (39.51 MB)
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062 Element Selection in Multi-Indexed DataFrames.mp4 (22.34 MB)
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063 Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 (28.22 MB)
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064 Concatenating Pandas Dataframes Concat Function.mp4 (58.04 MB)
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065 Merge Pandas Dataframes Merge() Function Lesson 1.mp4 (51.29 MB)
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066 Merge Pandas Dataframes Merge() Function Lesson 2.mp4 (27.43 MB)
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067 Merge Pandas Dataframes Merge() Function Lesson 3.mp4 (53.83 MB)
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068 Merge Pandas Dataframes Merge() Function Lesson 4.mp4 (37.44 MB)
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069 Joining Pandas Dataframes Join() Function.mp4 (51.85 MB)
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070 Loading a Dataset from the Seaborn Library.mp4 (35 MB)
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071 Examining the Data Set 1.mp4 (39.2 MB)
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072 Aggregation Functions in Pandas DataFrames.mp4 (83.69 MB)
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073 Examining the Data Set 2.mp4 (42.55 MB)
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074 Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 (80.89 MB)
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075 Advanced Aggregation Functions Aggregate() Function.mp4 (26.95 MB)
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076 Advanced Aggregation Functions Filter() Function.mp4 (22.98 MB)
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077 Advanced Aggregation Functions Transform() Function.mp4 (43.73 MB)
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078 Advanced Aggregation Functions Apply() Function.mp4 (38.31 MB)
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079 Examining the Data Set 3.mp4 (35.6 MB)
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080 Pivot Tables in Pandas Library.mp4 (49.94 MB)
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081 Accessing and Making Files Available.mp4 (32.22 MB)
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082 Data Entry with Csv and Txt Files.mp4 (59.32 MB)
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083 Data Entry with Excel Files.mp4 (19.83 MB)
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084 Outputting as an CSV Extension.mp4 (32.78 MB)
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085 Outputting as an Excel File.mp4 (18.13 MB)
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001 What is Numpy.mp4 (26.71 MB)
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002 Why Numpy.mp4 (13.64 MB)
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003 Array and features in Python Numpy.mp4 (47.9 MB)
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004 Array's Operators in Python Numpy.mp4 (17.58 MB)
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005 Numpy Functions in Python Numpy.mp4 (78.52 MB)
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006 Indexing and Slicing in Python Numpy.mp4 (40.38 MB)
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007 Numpy Exercises in Python Numpy.mp4 (74.18 MB)
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001 What is Pandas.mp4 (22.32 MB)
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002 Series and Features in Pandas.mp4 (83.55 MB)
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003 Data Frame attributes and Methods in Pandas.mp4 (186.43 MB)
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004 Groupby Operations in Pandas.mp4 (57.27 MB)
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005 Combining DataFrames I in Pandas.mp4 (110.18 MB)
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006 Combining DataFrames II in Pandas.mp4 (88.59 MB)
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007 Work with CSV Files in Pandas.mp4 (74.23 MB)
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001 What is Matplotlib.mp4 (17.86 MB)
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002 Using Pyplot.mp4 (26.53 MB)
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003 Pyplot - Pylab - Matplotlib.mp4 (26.59 MB)
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004 Figure, Subplot and Axes.mp4 (65.66 MB)
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005 Figure Customization.mp4 (59.03 MB)
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006 Plot Customization.mp4 (25.75 MB)
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007 Grid, Spines, Ticks.mp4 (22.39 MB)
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008 Basic Plots in Matplotlib I.mp4 (104.39 MB)
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009 Basic Plots in Matplotlib II.mp4 (51.52 MB)
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001 What is Seaborn.mp4 (12.89 MB)
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002 Controlling Figure Aesthetics in Seaborn.mp4 (39.19 MB)
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003 Example in Seaborn.mp4 (51.32 MB)
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004 Color Palettes in Seaborn.mp4 (45.43 MB)
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005 Basic Plots in Seaborn.mp4 (92.75 MB)
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006 Multi-Plots in Seaborn.mp4 (40.93 MB)
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007 Regression Plots and Squarify in Seaborn.mp4 (56.5 MB)
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001 What is Geoplotlib.mp4 (32.19 MB)
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002 Example - 1.mp4 (36.39 MB)
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003 Example - 2.mp4 (76.28 MB)
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004 Example - 3.mp4 (47.8 MB)
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