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

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文件数目：263个文件
文件大小：4.21 GB
收录时间：2019-11-08
访问次数：6
相关内容：Complete Data Analysis Course with Pandas NumPy Python

文件meta

09. Pandas Exercise/2. Pandas Exercise Solution - I.mp4
132.99 MB
09. Pandas Exercise/3. Pandas Exercise Solution - II.mp4
131.72 MB
05. Python Exercises/2. Solutions.mp4
109.43 MB
01. Introduction/1. What is Data analysis.mp4
95.77 MB
06. Numpy/2. Numpy indexing and selection, Functions.mp4
93.62 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4
90.72 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4
86.31 MB
08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4
85.44 MB
06. Numpy/1. Creating NumPy array.mp4
85.15 MB
08. Data Frame Pandas/13. sorting values.mp4
84.74 MB
08. Data Frame Pandas/3. Data frame attributes and methods.mp4
83.4 MB
01. Introduction/2. Introduction to Pandas.mp4
78.38 MB
08. Data Frame Pandas/15. .loc() and .iloc() method.mp4
75.04 MB
02. Installation and IDE/7. Getting started with Jupyter Lab.mp4
74.99 MB
01. Introduction/3. Course FAQ.mp4
73.66 MB
08. Data Frame Pandas/1. Introduction to Data Frame.mp4
73.01 MB
14. Working with Text Data/3. More String methods.mp4
70.95 MB
08. Data Frame Pandas/8. Filtering Data with one condition.mp4
68.55 MB
11. Pandas Options/1. max_rows , max_columns.mp4
66.11 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4
63.8 MB
04. Python Crash Course [Optional]/6. Lists and tuples.mp4
62.73 MB
06. Numpy/3. Some more Numpy Functions.mp4
61.94 MB
13. Import and Export data from Pandas/1. read_csv() & to_csv() method.mp4
61.68 MB
06. Numpy/8. Split, Concatenate, Tile and Repeat array.mp4
59.86 MB
07. Series Pandas/6. Series attributes & methods.mp4
58.37 MB
02. Installation and IDE/4. Anaconda + Conda Command.mp4
57.09 MB
12. Visualize Data with Pandas/2. Pie, Histogram and Bar Chart.mp4
56.34 MB
08. Data Frame Pandas/20. .apply() method on multiple column.mp4
55.58 MB
02. Installation and IDE/1. Different ways of installation.mp4
53.41 MB
07. Series Pandas/2. Introduction to Series.mp4
51.47 MB
06. Numpy/5. List vs NumPy Array.mp4
51.15 MB
16. Data Frame Multiindex/7. Transposing DataFrame.mp4
51 MB
08. Data Frame Pandas/17. .astype() method - optimize memory requirement.mp4
49.88 MB
04. Python Crash Course [Optional]/2. Python Basics - I.mp4
49.84 MB
18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.mp4
48.73 MB
16. Data Frame Multiindex/8. UnStack and Stack Data.mp4
48.66 MB
15. Data Grouping/1. Importing Data Grouping.mp4
48.54 MB
15. Data Grouping/4. Sum, Mean, Max, Min Method.mp4
48.31 MB
07. Series Pandas/4. Create Series from CSV file.mp4
48.2 MB
07. Series Pandas/3. Create Series from Python Object.mp4
47.72 MB
02. Installation and IDE/2. Download and Install anaconda + Pandas.mp4
46.67 MB
06. Numpy/7. Insert, Append and Delete NumPy array.mp4
45.16 MB
08. Data Frame Pandas/5. Select one or more than one column.mp4
44.87 MB
14. Working with Text Data/1. Getting started with Data.mp4
44.42 MB
06. Numpy/4. Linear algebra with NumPy.mp4
43.83 MB
14. Working with Text Data/2. Some String methods.mp4
43.43 MB
14. Working with Text Data/4. Filtering Message with String.mp4
41.36 MB
16. Data Frame Multiindex/4. Index - Meta Information.mp4
39.43 MB
15. Data Grouping/5. .agg method.mp4
39.26 MB
16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.mp4
39.08 MB