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~Get Your Files Here !/3. NumPy Random/5. Numpy Binomial Distribution.mp4 66.1 MB
~Get Your Files Here !/4. NumPy ufunc/2. NumPy ufunc Simple Arithmetic.mp4 54.6 MB
~Get Your Files Here !/3. NumPy Random/6. Numpy Poisson Distribution.mp4 54.4 MB
~Get Your Files Here !/3. NumPy Random/2. Numpy Random Permutations.mp4 52.0 MB
~Get Your Files Here !/5. Python Pandas/2. Pandas DataFrames.mp4 50.8 MB
~Get Your Files Here !/5. Python Pandas/4. Pandas Read JSON.mp4 49.9 MB
~Get Your Files Here !/2. Python Numpy/1. Numpy Creating Arrays.mp4 48.5 MB
~Get Your Files Here !/2. Python Numpy/4. Numpy Data Types.mp4 47.9 MB
~Get Your Files Here !/5. Python Pandas/3. Pandas Read CSV.mp4 44.5 MB
~Get Your Files Here !/1. Introduction/2. Introduction of Numpy Random.mp4 44.4 MB
~Get Your Files Here !/5. Python Pandas/1. Pandas Series.mp4 44.0 MB
~Get Your Files Here !/3. NumPy Random/4. Numpy Normal Distribution.mp4 43.6 MB
~Get Your Files Here !/2. Python Numpy/6. Numpy Array Reshaping.mp4 43.4 MB
~Get Your Files Here !/2. Python Numpy/5. Numpy Array Shape.mp4 43.4 MB
~Get Your Files Here !/4. NumPy ufunc/6. NumPy ufunc Products.mp4 43.1 MB
~Get Your Files Here !/4. NumPy ufunc/5. NumPy ufunc Summations.mp4 40.5 MB
~Get Your Files Here !/4. NumPy ufunc/4. NumPy ufunc Logs.mp4 40.2 MB
~Get Your Files Here !/5. Python Pandas/5. Pandas Analyzing DataFrames.mp4 39.8 MB
~Get Your Files Here !/3. NumPy Random/7. Numpy Uniform Distribution.mp4 39.7 MB
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Chapter 6 Machine Learning Basics/003. Classification in Code.mp4 84.9 MB
Chapter 3 Matplotlib/007. Where to Learn More Matplotlib.mp4 55.8 MB
Chapter 6 Machine Learning Basics/002. What Is Classification.mp4 52.2 MB
Chapter 2 NumPy/007. Generating Data.mp4 50.1 MB
Chapter 1 Welcome and Logistics/001. Introduction and Outline.mp4 45.3 MB
Chapter 2 NumPy/005. Matrices.mp4 44.8 MB
Chapter 6 Machine Learning Basics/005. Regression in Code.mp4 43.5 MB
Chapter 6 Machine Learning Basics/009. Comparing Different Machine Learning Models.mp4 39.9 MB
Chapter 2 NumPy/002. Arrays Versus Lists.mp4 39.8 MB
Chapter 6 Machine Learning Basics/004. What Is Regression.mp4 39.7 MB
Chapter 4 Pandas/003. Selecting Rows and Columns.mp4 35.6 MB
Chapter 6 Machine Learning Basics/001. Machine Learning Section Introduction.mp4 35.2 MB
Chapter 6 Machine Learning Basics/010. Machine Learning and Deep Learning Future Topics.mp4 32.7 MB
Chapter 2 NumPy/009. Where to Learn More NumPy.mp4 32.7 MB
Chapter 5 SciPy/005. Where to Learn More SciPy.mp4 29.7 MB
Chapter 3 Matplotlib/005. Plotting Images.mp4 29.1 MB
Chapter 6 Machine Learning Basics/006. What Is a Feature Vector.mp4 29.0 MB
Chapter 2 NumPy/003. Dot Product.mp4 22.4 MB
Chapter 6 Machine Learning Basics/011. Machine Learning Section Summary.mp4 21.3 MB
Chapter 4 Pandas/007. Where to Learn More Pandas.mp4 21.3 MB

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2 - Einfuhrung & Installation/10 - Windows Installation von VS Code.mp4 167.2 MB
2 - Einfuhrung & Installation/13 - Kurs-Struktur-mit-L-sung.zip 165.7 MB
10 - Scipy/70 - Curve Fitting.mp4 101.4 MB
3 - Python Basics/19 - Operators.mp4 100.6 MB
10 - Scipy/68 - Simple Optimierung von Funktionen.mp4 99.5 MB
6 - Methoden und Funktionen/35 - Funktionen mit mehreren Parametern 1.mp4 97.7 MB
7 - NumPy/47 - For Schleife vs DotFunktion.mp4 97.4 MB
2 - Einfuhrung & Installation/6 - Windows Installation Python und Anaconda.mp4 96.5 MB
3 - Python Basics/18 - Strings.mp4 87.0 MB
6 - Methoden und Funktionen/32 - Globale und lokale Variablen.mp4 82.6 MB
6 - Methoden und Funktionen/44 - Rekursive Funktion.mp4 80.9 MB
6 - Methoden und Funktionen/43 - call by value und call by name.mp4 74.0 MB
7 - NumPy/46 - Lists vs Arrays.mp4 70.3 MB
3 - Python Basics/15 - Variablen.mp4 68.9 MB
8 - Pandas/53 - autos-full.csv 68.4 MB
8 - Pandas/54 - autos-full.csv 68.4 MB
3 - Python Basics/17 - Casting.mp4 68.4 MB
9 - Matplotlib/62 - Balkendiagramme.mp4 66.4 MB
9 - Matplotlib/63 - Tortendiagramm 1.mp4 66.0 MB
8 - Pandas/58 - Anderungen durchfuhren DFApply.mp4 65.0 MB

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01-Welcome.en.srt 1.1 kB
01-Welcome.mp4 6.2 MB
02-What you should know.en.srt 566 Bytes
02-What you should know.mp4 621.5 kB
03-NumPy, data science, IMQAV.en.srt 8.7 kB
03-NumPy, data science, IMQAV.mp4 13.6 MB
04-How to use the exercise files.en.srt 3.2 kB
04-How to use the exercise files.mp4 3.9 MB
05-Install software.en.srt 3.0 kB
05-Install software.mp4 5.8 MB
06-Introduction to Jupyter Notebook.en.srt 4.7 kB
06-Introduction to Jupyter Notebook.mp4 9.5 MB
07-Notebook basics.en.srt 13.1 kB
07-Notebook basics.mp4 22.0 MB
08-Markdown.en.srt 6.4 kB
08-Markdown.mp4 12.0 MB
09-Beautiful mathematics typesetting.en.srt 4.6 kB
09-Beautiful mathematics typesetting.mp4 11.0 MB
10-Launch Jupyter Notebook.en.srt 3.0 kB
10-Launch Jupyter Notebook.mp4 5.3 MB

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[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/11. Stacking Arrays.mp4 78.1 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/1. Importing Data with Numpy - np.loadtxtx() vs np.genfromtxt().mp4 76.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/7. Argument Functions - Part 1 Argument Where.mp4 69.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/5. Sorting Arrays.mp4 62.4 MB
[TutsNode.com] - Preprocessing Data with NumPy/1. Introduction to NumPy/1. What Does the Course Cover.mp4 61.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/2. Importing Data with NumPy - Simple Cleaning when Importing.mp4 60.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/15. Completing the Dataset.mp4 57.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/14. Manipulating Numeric Data Currency Change - From USD to EUR.mp4 55.2 MB
[TutsNode.com] - Preprocessing Data with NumPy/4. Working with Arrays/1. Basic Slicing.mp4 54.8 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/1. Setting Up Introduction to the Practical Example.mp4 54.7 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/1. Checking for Missing Values.mp4 54.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/8. Manipulating Text Data Grade and Sub Grade.mp4 53.9 MB
[TutsNode.com] - Preprocessing Data with NumPy/2. Why Do We Use NumPy/3. ndarrays.mp4 52.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/10. Manipulating Text Data State Address.mp4 52.0 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/12. Concatenating Arrays.mp4 50.1 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/12. Manipulating Numeric Data Substitute Filler Values.mp4 48.6 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/9. Casting Arrays.mp4 47.8 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/3. Reshaping Arrays.mp4 47.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/7. Statistics with NumPy/1. Using NumPy Statistical Functions.mp4 46.2 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/3. Importing Data with NumPy - String vs Object vs Numbers.mp4 45.9 MB

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[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/1. Installations/1. Installing Anaconda Distribution for Windows.mp4 128.5 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/1. Installations/5. Installing Anaconda Distribution for Linux.mp4 125.6 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 87.7 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 84.8 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 70.3 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 65.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 62.2 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 60.9 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/2. NumPy Library Introduction/2. The Power of NumPy.mp4 58.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 56.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 54.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 53.8 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 52.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 50.2 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/8. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp4 46.2 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 45.9 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.5 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 44.7 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 44.6 MB

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~Get Your Files Here !/6 - Methods/4 -Solution.mp4 155.0 MB
~Get Your Files Here !/13 - Saving and loading arrays/1 -Saving and loading arrays.mp4 105.0 MB
~Get Your Files Here !/9 - Indexing functions/4 -Solution.mp4 94.7 MB
~Get Your Files Here !/5 - Indexing, slicing, assigning/4 -Solution.mp4 89.6 MB
~Get Your Files Here !/6 - Methods/2 -Shape manipulation methods.mp4 88.2 MB
~Get Your Files Here !/8 - Manipulation functions/4 -Adding or removing elements.mp4 85.9 MB
~Get Your Files Here !/6 - Methods/3 -Item selection.mp4 85.8 MB
~Get Your Files Here !/10 - Universal functions/4 -Comparison functions.mp4 84.9 MB
~Get Your Files Here !/8 - Manipulation functions/6 -Solution.mp4 84.5 MB
~Get Your Files Here !/10 - Universal functions/6 -Solution.mp4 76.7 MB
~Get Your Files Here !/6 - Methods/9 -Solution.mp4 75.2 MB
~Get Your Files Here !/8 - Manipulation functions/1 -Grouping and splitting arrays.mp4 74.8 MB
~Get Your Files Here !/7 - Random numbers/1 -Simple random numbers.mp4 74.3 MB
~Get Your Files Here !/3 - ndarray and its attributes/4 -Array attributes.mp4 68.3 MB
~Get Your Files Here !/6 - Methods/8 -Calculation methods 4.mp4 65.6 MB
~Get Your Files Here !/4 - Filled arrays/4 -Solution.mp4 62.3 MB
~Get Your Files Here !/12 - Statistic/3 -Statistic 2.mp4 61.9 MB
~Get Your Files Here !/6 - Methods/1 -Conversion methods.mp4 59.8 MB
~Get Your Files Here !/11 - Linear algebra/4 -Solution.mp4 55.1 MB
~Get Your Files Here !/7 - Random numbers/3 -Distributions 1.mp4 55.0 MB

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【影视】 Using NumPy's np.arange() Effectively

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[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_1_params.mp4 29.1 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_5_other_functions.mp4 27.6 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_2_datatypes.mp4 18.8 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_4_arange_v_range.mp4 18.0 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_3_manipulation.mp4 15.8 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_6_conclusion.mp4 9.2 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/Numpy_arange_guide.pdf 266.5 kB
.pad/5 109.6 kB
.pad/0 89.2 kB
.pad/3 84.0 kB
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[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
TutsNode.com.txt 63 Bytes

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【压缩文件】 [ FreeCourseWeb.com ] Data Analysis with Pandas and NumPy in Python [2020].zip

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[ FreeCourseWeb.com ] Data Analysis with Pandas and NumPy in Python [2020].zip 2.1 GB

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3.mp4 1.3 GB
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1.mp4 408.6 MB

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03. Python 3 on Raspberry Pi/4. Raspbian OS Installation Part 1.mp4 240.4 MB
11. Array Manipulation Routines/1. Array Manipulation Routines.mp4 198.8 MB
03. Python 3 on Raspberry Pi/5. Raspbian OS Installation Part 2.mp4 192.8 MB
18. Python and MySQL/2. Getting Started with MySQL and SQL Workbench.mp4 182.1 MB
07. Jupyter Notebook/6. A brief tour of Jupyter.mp4 160.4 MB
14. Plotting in detail/3. Grid Axes and Labels.mp4 138.2 MB
08. Getting Started with NumPy/2. Ndarrays, Indexing, and Slicing.mp4 135.4 MB
03. Python 3 on Raspberry Pi/6. Remote connection with VNC.mp4 128.7 MB
18. Python and MySQL/4. Exploring SQL Workbench.mp4 117.6 MB
17. Data Acquisition with Python, NumPy, and Matplotlib/3. Handling Excel File.mp4 116.4 MB
07. Jupyter Notebook/1. Jupyter and IPython.mp4 116.3 MB
19. Series and DataFrame in Pandas/2. Pandas Dataframe.mp4 110.3 MB
09. Creation of Arrays and Matplotlib/4. Numerical Rages Visualised.mp4 107.8 MB
18. Python and MySQL/6. Connect MySQL with Python 3.mp4 102.8 MB
16. Matrices and Linear Algebra/6. Linear Algebra with SciPy.mp4 98.5 MB
18. Python and MySQL/7. Execute DDL.mp4 96.4 MB
18. Python and MySQL/8. INSERT.mp4 95.7 MB
04. Basics of Python 3/4. IDLE.mp4 95.5 MB
19. Series and DataFrame in Pandas/1. Pandas Series.mp4 91.2 MB
20. Data Acquisition with Pandas/5. Pandas and Web.mp4 91.1 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Numpy - The ultimate course on python numpy for data analytics

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~Get Your Files Here !/03 - Accessing numpy array/004 NumPy - Iterating Over Array.mp4 142.0 MB
~Get Your Files Here !/04 - Operations on numpy array/005 NumPy - Statistical Functions.mp4 138.0 MB
~Get Your Files Here !/03 - Accessing numpy array/001 NumPy - Indexing & Slicing.mp4 134.8 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/004 NumPy - Matplotlib.mp4 112.6 MB
~Get Your Files Here !/03 - Accessing numpy array/002 NumPy - Advanced Indexing.mp4 111.3 MB
~Get Your Files Here !/04 - Operations on numpy array/004 NumPy - Arithmetic Operations.mp4 110.3 MB
~Get Your Files Here !/02 - NumPy Array Creation/002 NumPy - Array From Existing Data.mp4 105.9 MB
~Get Your Files Here !/01 - Introduction to numpy/004 NumPy - Data Types.mp4 99.9 MB
~Get Your Files Here !/02 - NumPy Array Creation/003 NumPy - Array From Numerical Ranges.mp4 94.9 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/001 NumPy - Copies & Views.mp4 86.4 MB
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~Get Your Files Here !/03 - Accessing numpy array/003 NumPy - Broadcasting.mp4 76.3 MB
~Get Your Files Here !/01 - Introduction to numpy/005 NumPy - Array Attributes.mp4 72.3 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/002 NumPy - Matrix Library.mp4 68.2 MB
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~Get Your Files Here !/01 - Introduction to numpy/003 NumPy - Ndarray Object.mp4 65.6 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/005 NumPy - Histogram Using Matplotlib.mp4 43.8 MB
~Get Your Files Here !/04 - Operations on numpy array/006 NumPy - Sort, Search & Counting Functions.mp4 43.6 MB
~Get Your Files Here !/04 - Operations on numpy array/003 NumPy - Mathematical Functions.mp4 41.6 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/006 IO with NumPy.mp4 39.4 MB

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~Get Your Files Here !/3. Fundamental NumPy Properties/2. Creating NumPy arrays.mp4 34.2 MB
~Get Your Files Here !/1. Python Quick Refresher/4. Anaconda Installation Windows, Mac & Ubuntu.mp4 32.6 MB
~Get Your Files Here !/3. Fundamental NumPy Properties/3. Indexing NumPy arrays.mp4 27.9 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/16. Filtering data using loc().mp4 22.7 MB
~Get Your Files Here !/3. Fundamental NumPy Properties/5. Iterating Over NumPy Arrays.mp4 21.3 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/17. Adding and deleting rows and columns.mp4 18.1 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/21. groupby().mp4 17.7 MB
~Get Your Files Here !/1. Python Quick Refresher/6. Managing Directories in Jupyter Notebook.mp4 17.2 MB
~Get Your Files Here !/1. Python Quick Refresher/2. Setting up Python.mp4 16.3 MB
~Get Your Files Here !/1. Python Quick Refresher/14. Loops.mp4 15.6 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/4. Creating a DataFrame using lists.mp4 14.2 MB
~Get Your Files Here !/1. Python Quick Refresher/12. Logical Operators.mp4 13.3 MB
~Get Your Files Here !/1. Python Quick Refresher/15. Sequences Lists.mp4 12.9 MB
~Get Your Files Here !/1. Python Quick Refresher/16. Sequences Dictionaries.mp4 11.4 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/18. Sorting Values.mp4 11.2 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/19. Exporting and saving pandas DataFrames.mp4 11.2 MB
~Get Your Files Here !/4. Mathematics for Data Science/15. Statistics.mp4 10.8 MB
~Get Your Files Here !/1. Python Quick Refresher/19. Functions User-defined Functions.mp4 10.7 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/6. Loading CSV data into python.mp4 10.6 MB
~Get Your Files Here !/5. Python Pandas DataFrames & Series/15. Filtering rows using & and operators.mp4 9.8 MB

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15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB