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~Get Your Files Here !/6 - The Met Office Temperature Dataset/20 - Reading The Data From a CSV File to a NumPy Array.mp4 245.4 MB
~Get Your Files Here !/4 - Multiple Dimensions in NumPy Arrays/14 - Another Glimpse At NumPys Documentation.mp4 183.1 MB
~Get Your Files Here !/6 - The Met Office Temperature Dataset/21 - Remove What We Dont Need From The Array.mp4 120.1 MB
~Get Your Files Here !/7 - Representing Equations Using NumPy/25 - From an Equation on Paper to An Equation on Computer nparange and nplin.mp4 76.3 MB
~Get Your Files Here !/5 - Boolean Operations Boolean Indexing Filtering And More/18 - Theres Lots More in NumPys API.mp4 65.0 MB
~Get Your Files Here !/2 - Understanding NumPys ndarray Data Type/5 - Finally Say Hello to ndarray.mp4 64.7 MB
~Get Your Files Here !/5 - Boolean Operations Boolean Indexing Filtering And More/19 - Views and Copies A Brief Introduction.mp4 52.8 MB
~Get Your Files Here !/7 - Representing Equations Using NumPy/26 - Plotting The Equation.mp4 50.8 MB
~Get Your Files Here !/3 - Vectorisation A Fancy Word For NumPys Superpower/8 - Comparing Loops With Lists List Comprehensions and NumPy Vectorisation.mp4 50.0 MB
~Get Your Files Here !/6 - The Met Office Temperature Dataset/23 - Grouping Temperatures Using a Histogram.mp4 49.3 MB
~Get Your Files Here !/4 - Multiple Dimensions in NumPy Arrays/13 - Broadcasting A Brief Introduction.mp4 48.9 MB
~Get Your Files Here !/3 - Vectorisation A Fancy Word For NumPys Superpower/9 - Lets Race Timing The Three Versions.mp4 47.1 MB
~Get Your Files Here !/4 - Multiple Dimensions in NumPy Arrays/15 - Lets Add One More Dimension 3D Arrays.mp4 46.7 MB
~Get Your Files Here !/6 - The Met Office Temperature Dataset/22 - Finding the Minimum Maximum and Mean Temperatures.mp4 43.4 MB
~Get Your Files Here !/5 - Boolean Operations Boolean Indexing Filtering And More/17 - Boolean Indexing and Filtering.mp4 41.3 MB
~Get Your Files Here !/3 - Vectorisation A Fancy Word For NumPys Superpower/7 - Performing Operations ElementbyElement in NumPy Vectorisation.mp4 40.9 MB
~Get Your Files Here !/4 - Multiple Dimensions in NumPy Arrays/12 - Creating Arrays of Random Numbers The FivePlayer ThreeRound Game.mp4 39.9 MB
~Get Your Files Here !/1 - On the Road to NumPy/3 - The LesserKnown Array.mp4 39.0 MB
~Get Your Files Here !/2 - Understanding NumPys ndarray Data Type/6 - Looking Ahead to Some Other ndarray Features.mp4 36.3 MB
~Get Your Files Here !/4 - Multiple Dimensions in NumPy Arrays/11 - More Than One Dimension.mp4 29.8 MB

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[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/7. Merging Dataframes in Pandas/5. Joins using Pandas.mp4 167.2 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/5. Creating Dataframes using Pandas/1. Introduction to Pandas Creating the first Dataframe.mp4 163.5 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/12. User defined functions/1. Using def.mp4 153.8 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/9. Working with Datetime in pandas/2. Weight loss per day.mp4 150.2 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/13. Working with String Columns/4. Replace and split a string.mp4 149.7 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/12. User defined functions/2. Lambda and Apply.mp4 146.7 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/11. Iterating over Pandas Dataframe/1. Loops in Python.mp4 142.9 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/8. Aggregations/2. Aggregation Part 2.mp4 120.2 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/3. Numpy/4. Access elements of an array.mp4 115.3 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/3. Numpy/1. Create numpy array.mp4 113.3 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/10. Advance Data Manipulation/1. Pivot Table Part 1.mp4 107.9 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/11. Iterating over Pandas Dataframe/5. Iterating 100x faster over Pandas Dataframe Method 3.mp4 106.4 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/13. Working with String Columns/3. Removing extra spaces.mp4 106.1 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/6. Data Selection and Manipulation/1. Using loc.mp4 104.8 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/1. Getting Started/2. Setting up the environment.mp4 100.4 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/9. Working with Datetime in pandas/3. Age of the people.mp4 94.2 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/9. Working with Datetime in pandas/1. Getting Started.mp4 94.0 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/4. Data Types in Python/2. Access and Modify List.mp4 93.5 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/10. Advance Data Manipulation/2. Pivot Table Part 2.mp4 93.2 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/5. Creating Dataframes using Pandas/2. Create Dataframe from csv.mp4 91.9 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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【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
.pad/4 83.1 kB
.pad/2 70.0 kB
.pad/1 58.9 kB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
TutsNode.com.txt 63 Bytes

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【影视】 Python for Machine Learning with Numpy, Pandas & Matplotlib

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01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
03 Data Visualization/001 Data Visualizaton _ Part 1.mp4 633.9 MB
03 Data Visualization/002 Data Visualizaton _ Part 2.mp4 281.5 MB
03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
03 Data Visualization/004 titanic_train.csv 60.3 kB
03 Data Visualization/004 state_wise_daily_covid.csv 30.0 kB
02 Numpy & Pandas for Data Science/002 Numpy Tutorials.ipynb 26.4 kB
02 Numpy & Pandas for Data Science/002 Pandas.ipynb 15.2 kB
02 Numpy & Pandas for Data Science/003 iris.csv 5.1 kB
02 Numpy & Pandas for Data Science/003 IrisClassification.py 1.1 kB
Downloaded from 1337x.html 543 Bytes

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【影视】 [Специалист] Программирование на Python 3. Уровень 4. Библиотеки Pandas, numpy, Matplotlib (2018)

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3.mp4 1.3 GB
2.mp4 857.9 MB
1.mp4 408.6 MB

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【影视】 Python For NumPy For Absolute Beginners 2023

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6 - Indexing and Slicing in Numpy array/25 - Slicing in 1D and 2D Numpy array.mp4 89.8 MB
6 - Indexing and Slicing in Numpy array/26 - Slicing in 3D Numpy array.mp4 64.1 MB
5 - Numpy Array Function/22 - Understanding round floor ceil in numpy.mp4 62.5 MB
11 - Advance Level/37 - Searching in Numpy Array.mp4 57.1 MB
5 - Numpy Array Function/20 - Dot product of an Numpy array.mp4 52.6 MB
1 - Introduction/2 - Why we Use Numpy Over Python List.mp4 50.5 MB
5 - Numpy Array Function/18 - Understanding the Axis and Sum Min Max.mp4 45.9 MB
3 - Numpy Array Attributes/13 - Find the Itemsize of the array.mp4 41.5 MB
11 - Advance Level/38 - Sorting a Numpy Array.mp4 40.2 MB
6 - Indexing and Slicing in Numpy array/24 - Indexing on 2D array and 3D numpy array.mp4 38.9 MB
9 - Joining Two Array/33 - How to Join to array.mp4 38.4 MB
10 - Splitting Two Array/36 - Code for Splitting an array.mp4 37.1 MB
2 - How to Create Numpy Array/5 - Create 1D 2D 3D Numpy array.mp4 32.9 MB
5 - Numpy Array Function/19 - Finding Mean Median Variance of Numpy Array.mp4 32.6 MB
7 - Iteration of Numpy Array/29 - Iterating 3D array.mp4 31.2 MB
6 - Indexing and Slicing in Numpy array/23 - What is the Indexing and Slicing.mp4 30.6 MB
2 - How to Create Numpy Array/8 - Reshape the numpy array.mp4 28.8 MB
1 - Introduction/3 - Applications of Numpy.mp4 26.4 MB
1 - Introduction/1 - Introduction of Numpy.mp4 25.9 MB
2 - How to Create Numpy Array/10 - Create array Using linspace.mp4 25.5 MB

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【影视】 [UdemyCourseDownloader] Complete Data Analysis Course with Pandas & NumPy Python

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09. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
09. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
05. Python Exercises/2. Solutions.mp4 114.7 MB
01. Introduction/1. What is Data analysis.mp4 100.4 MB
06. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
06. Numpy/1. Creating NumPy array.mp4 89.3 MB
08. Data Frame Pandas/13. sorting values.mp4 88.9 MB
08. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
01. Introduction/2. Introduction to Pandas.mp4 82.2 MB
08. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
02. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
01. Introduction/3. Course FAQ.mp4 77.2 MB
08. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
14. Working with Text Data/3. More String methods.mp4 74.4 MB
08. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 66.9 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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【影视】 [FreeCourseSite.com] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

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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

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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

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

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02 - Python Refresher/004 Data Structures in Python.mp4 306.5 MB
02 - Python Refresher/002 String Functions in Python.mp4 184.3 MB
08 - Web Scraping & Data Analysis Using Python & SQL/001 How to Scrape a website in Python.mp4 150.8 MB
02 - Python Refresher/003 Control Flow VS Loops.mp4 124.2 MB
03 - Object Oriented Programming (OOP) In Python/002 Overviewing Constructor.mp4 92.2 MB
07 - Python Pandas Data Analysis & Visualization/005 Using Python Pandas Package to load PostgreSQL the Data Output file.mp4 85.9 MB
05 - Project Hangman Game/004 Project Solution Part 2.mp4 73.4 MB
04 - Project Color Choices Game/003 Project Solution.mp4 72.7 MB
02 - Python Refresher/001 Variables, Operators and Data Types in Python.mp4 68.0 MB
05 - Project Hangman Game/002 Project Helful Notes.mp4 61.3 MB
02 - Python Refresher/007 Files and Modules in Python.mp4 61.1 MB
04 - Project Color Choices Game/002 Project Helpful Notes.mp4 58.4 MB
08 - Web Scraping & Data Analysis Using Python & SQL/004 Save The Scraped Data to a Database.mp4 54.4 MB
01 - Introduction/002 Environment Preparing for Python.mp4 53.6 MB
02 - Python Refresher/006 Functions in Python.mp4 52.7 MB
08 - Web Scraping & Data Analysis Using Python & SQL/003 Data Visualization of the Scraped Data.mp4 51.5 MB
01 - Introduction/004 Understanding Data Types in Python.mp4 48.5 MB
01 - Introduction/003 Python2 VS Python3.mp4 45.9 MB
07 - Python Pandas Data Analysis & Visualization/009 Visualizing Data.mp4 43.2 MB
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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
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6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.7 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
6. Appendix FAQ/1. Exercises.mp4 17.5 MB
4. Matplotlib/4. Plotting Images.mp4 12.8 MB
2. Numpy/7. More Matrix Operations.mp4 12.6 MB
2. Numpy/1. Lists vs. Arrays.mp4 11.2 MB
1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.mp4 10.6 MB
5. Scipy/5. Other Interesting Scipy Functions.mp4 10.5 MB
5. Scipy/1. Gaussian PDF and CDF.mp4 8.9 MB
3. Pandas/3. More about DataFrames Selecting Rows and Columns.mp4 8.6 MB
2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.mp4 8.6 MB
3. Pandas/1. Manual Data Loading.mp4 8.5 MB
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~Get Your Files Here !/20 Statistics - Outlier/003 Interquartile Range Method.mp4 85.4 MB
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~Get Your Files Here !/19 Numpy for Statistics – Spread/003 Numpy Interquartile Range Part 2.mp4 83.5 MB
~Get Your Files Here !/07 Python Basics – List, Loops and List Comprehension/004 Loops Part 1.mp4 82.2 MB
~Get Your Files Here !/18 Statistics - Spread/002 Quartiles and Interquartile Range.mp4 79.7 MB
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~Get Your Files Here !/19 Numpy for Statistics – Spread/005 Numpy Mean Absolute Deviation.mp4 78.0 MB
~Get Your Files Here !/14 Numpy Sorting and Joining/002 Numpy Sorting Part 2.mp4 75.6 MB
~Get Your Files Here !/07 Python Basics – List, Loops and List Comprehension/002 List Part 2.mp4 74.6 MB
~Get Your Files Here !/17 Numpy for Statistics – Central Tendency and Simple statistics/005 Numpy Mode.mp4 74.5 MB
~Get Your Files Here !/21 Numpy for Statistics – Outlier/002 Numpy Interquartile Range Method.mp4 72.9 MB
~Get Your Files Here !/22 Linear Algebra/001 Matrix Basics and Matrix Arithmetic Operations.mp4 72.8 MB
~Get Your Files Here !/22 Linear Algebra/003 Matrix Inverse and Solve Linear Equation.mp4 71.3 MB
~Get Your Files Here !/17 Numpy for Statistics – Central Tendency and Simple statistics/001 Numpy Simple Statistics.mp4 70.0 MB
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~Get Your Files Here !/21 Numpy for Statistics – Outlier/006 Numpy Box Plot Part 4.mp4 67.9 MB
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Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
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Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
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3. Terrain generator/1. Creating the terrain.mp4 72.2 MB
8. Adjusting the details/2. Custom look at function.mp4 57.3 MB
7. Merging code snippets/3. Merging the import script.mp4 48.3 MB
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8. Adjusting the details/1. Working with shrinkwrap.mp4 43.4 MB
9. Extra - Exporting the scene/2. Importing into Godot.mp4 41.6 MB
8. Adjusting the details/3. Custom random direction.mp4 39.6 MB
5. Town generator/1. Parametric circle equation.mp4 37.2 MB
8. Adjusting the details/10. Removing overlapping house.mp4 37.1 MB
8. Adjusting the details/7. Random positions for the houses.mp4 35.6 MB
7. Merging code snippets/1. Merging the terrain and forest scripts.mp4 35.4 MB
7. Merging code snippets/2. Merging the town script.mp4 34.8 MB
8. Adjusting the details/5. Adding a custom material.mp4 34.3 MB
8. Adjusting the details/4. Random size.mp4 31.6 MB
9. Extra - Exporting the scene/1. Exporting to glTF.mp4 31.4 MB
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