ØMagnet

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

Torrent Hash :
3d781d7bf6ade2cbe8692c908df3aa246223d41c
Content Size :
4.21 GB
Date :
2019-11-08
Short Magnet :
Short Magnet
https://0mag.me/!A7m85e QR code
Files ( 263 )size
09. Pandas Exercise/2. Pandas Exercise Solution - I.mp4132.99 MB
09. Pandas Exercise/3. Pandas Exercise Solution - II.mp4131.72 MB
05. Python Exercises/2. Solutions.mp4109.43 MB
01. Introduction/1. What is Data analysis.mp495.77 MB
06. Numpy/2. Numpy indexing and selection, Functions.mp493.62 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp490.72 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp486.31 MB
08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp485.44 MB
06. Numpy/1. Creating NumPy array.mp485.15 MB
08. Data Frame Pandas/13. sorting values.mp484.74 MB
08. Data Frame Pandas/3. Data frame attributes and methods.mp483.4 MB
01. Introduction/2. Introduction to Pandas.mp478.38 MB
08. Data Frame Pandas/15. .loc() and .iloc() method.mp475.04 MB
02. Installation and IDE/7. Getting started with Jupyter Lab.mp474.99 MB
01. Introduction/3. Course FAQ.mp473.66 MB
08. Data Frame Pandas/1. Introduction to Data Frame.mp473.01 MB
14. Working with Text Data/3. More String methods.mp470.95 MB
08. Data Frame Pandas/8. Filtering Data with one condition.mp468.55 MB
11. Pandas Options/1. max_rows , max_columns.mp466.11 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp463.8 MB
04. Python Crash Course [Optional]/6. Lists and tuples.mp462.73 MB
06. Numpy/3. Some more Numpy Functions.mp461.94 MB
13. Import and Export data from Pandas/1. read_csv() & to_csv() method.mp461.68 MB
06. Numpy/8. Split, Concatenate, Tile and Repeat array.mp459.86 MB
07. Series Pandas/6. Series attributes & methods.mp458.37 MB
02. Installation and IDE/4. Anaconda + Conda Command.mp457.09 MB
12. Visualize Data with Pandas/2. Pie, Histogram and Bar Chart.mp456.34 MB
08. Data Frame Pandas/20. .apply() method on multiple column.mp455.58 MB
02. Installation and IDE/1. Different ways of installation.mp453.41 MB
07. Series Pandas/2. Introduction to Series.mp451.47 MB
06. Numpy/5. List vs NumPy Array.mp451.15 MB
16. Data Frame Multiindex/7. Transposing DataFrame.mp451 MB
08. Data Frame Pandas/17. .astype() method - optimize memory requirement.mp449.88 MB
04. Python Crash Course [Optional]/2. Python Basics - I.mp449.84 MB
18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.mp448.73 MB
16. Data Frame Multiindex/8. UnStack and Stack Data.mp448.66 MB
15. Data Grouping/1. Importing Data Grouping.mp448.54 MB
15. Data Grouping/4. Sum, Mean, Max, Min Method.mp448.31 MB
07. Series Pandas/4. Create Series from CSV file.mp448.2 MB
07. Series Pandas/3. Create Series from Python Object.mp447.72 MB
02. Installation and IDE/2. Download and Install anaconda + Pandas.mp446.67 MB
06. Numpy/7. Insert, Append and Delete NumPy array.mp445.16 MB
08. Data Frame Pandas/5. Select one or more than one column.mp444.87 MB
14. Working with Text Data/1. Getting started with Data.mp444.42 MB
06. Numpy/4. Linear algebra with NumPy.mp443.83 MB
14. Working with Text Data/2. Some String methods.mp443.43 MB
14. Working with Text Data/4. Filtering Message with String.mp441.36 MB
16. Data Frame Multiindex/4. Index - Meta Information.mp439.43 MB
15. Data Grouping/5. .agg method.mp439.26 MB
16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.mp439.08 MB

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