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[DesireCourse.Net] Udemy - Complete Data Analysis Course with Pandas & NumPy Python
magnet:?xt=urn:btih:21a25e85f29bd2f9639ea3f63ff380679638af4f&dn=[DesireCourse.Net] Udemy - Complete Data Analysis Course with Pandas & NumPy Python
磁力链接详情
Hash值:
21a25e85f29bd2f9639ea3f63ff380679638af4f
点击数:
162
文件大小:
4.18 GB
文件数量:
89
创建日期:
2019-9-27 10:46
最后访问:
2024-9-3 06:12
访问标签:
DesireCourse
Net
Udemy
-
Complete
Data
Analysis
Course
with
Pandas
&
NumPy
Python
文件列表详情
1. Introduction/1. What is Data analysis.mp4 95.77 MB
1. Introduction/2. Introduction to Pandas.mp4 78.38 MB
1. Introduction/3. Course FAQ.mp4 73.66 MB
10. Panel Pandas/1. Warning - Panel Data type.mp4 8.62 MB
11. Pandas Options/1. max_rows , max_columns.mp4 66.11 MB
11. Pandas Options/2. precision.mp4 13.02 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 63.8 MB
12. Visualize Data with Pandas/2. Pie, Histogram and Bar Chart.mp4 56.34 MB
13. Import and Export data from Pandas/1. read_csv() & to_csv() method.mp4 61.68 MB
14. Working with Text Data/1. Getting started with Data.mp4 44.42 MB
14. Working with Text Data/2. Some String methods.mp4 43.43 MB
14. Working with Text Data/3. More String methods.mp4 70.95 MB
14. Working with Text Data/4. Filtering Message with String.mp4 41.36 MB
14. Working with Text Data/5. Splitting Text.mp4 29.46 MB
14. Working with Text Data/6. Processing on Column names.mp4 10.1 MB
15. Data Grouping/1. Importing Data Grouping.mp4 48.54 MB
15. Data Grouping/2. Getting Group.mp4 37.42 MB
15. Data Grouping/3. Size, First and Last Method.mp4 31.05 MB
15. Data Grouping/4. Sum, Mean, Max, Min Method.mp4 48.31 MB
15. Data Grouping/5. .agg method.mp4 39.26 MB
16. Data Frame Multiindex/1. Import Data - Multiindex.mp4 9.58 MB
16. Data Frame Multiindex/2. Set multiple column as index.mp4 23.38 MB
16. Data Frame Multiindex/3. Sorting MultiIndex.mp4 32.01 MB
16. Data Frame Multiindex/4. Index - Meta Information.mp4 39.43 MB
16. Data Frame Multiindex/5. Change Index names.mp4 10.22 MB
16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.mp4 39.08 MB
16. Data Frame Multiindex/7. Transposing DataFrame.mp4 51 MB
16. Data Frame Multiindex/8. UnStack and Stack Data.mp4 48.66 MB
16. Data Frame Multiindex/9. Pivot and Pivot_table Method.mp4 38.91 MB
17. Working with Time series data/1. Python Date and Datetime module.mp4 36.19 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 86.31 MB
18. Data cleaning/1. Data cleaning - Youtube Dataset (warm up) Part - 1.mp4 18.5 MB
18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.mp4 48.73 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 90.72 MB
2. Installation and IDE/1. Different ways of installation.mp4 53.41 MB
2. Installation and IDE/2. Download and Install anaconda + Pandas.mp4 46.67 MB
2. Installation and IDE/4. Anaconda + Conda Command.mp4 57.09 MB
2. Installation and IDE/7. Getting started with Jupyter Lab.mp4 74.99 MB
2. Installation and IDE/9. Import Library.mp4 23.53 MB
4. Python Crash Course [Optional]/1. Introduction.mp4 34.27 MB
4. Python Crash Course [Optional]/10. Functions.mp4 26.43 MB
4. Python Crash Course [Optional]/2. Python Basics - I.mp4 49.84 MB
4. Python Crash Course [Optional]/4. Python Basics - II.mp4 28.25 MB
4. Python Crash Course [Optional]/6. Lists and tuples.mp4 62.73 MB
4. Python Crash Course [Optional]/8. Dictionary and set.mp4 35.31 MB
5. Python Exercises/1. Exercise Overview.mp4 29.16 MB
5. Python Exercises/2. Solutions.mp4 109.43 MB
6. Numpy/1. Creating NumPy array.mp4 85.15 MB
6. Numpy/2. Numpy indexing and selection, Functions.mp4 93.62 MB
6. Numpy/3. Some more Numpy Functions.mp4 61.94 MB
6. Numpy/4. Linear algebra with NumPy.mp4 43.83 MB
6. Numpy/5. List vs NumPy Array.mp4 51.15 MB
6. Numpy/6. Views vs Copy - Numpy Array.mp4 34.75 MB
6. Numpy/7. Insert, Append and Delete NumPy array.mp4 45.16 MB
6. Numpy/8. Split, Concatenate, Tile and Repeat array.mp4 59.86 MB
7. Series Pandas/10. inplace parameter, sort_values & sort_index.mp4 33.4 MB
7. Series Pandas/12. Apply Python built in function on Series.mp4 13.95 MB
7. Series Pandas/13. Extract Value from Series.mp4 25.76 MB
7. Series Pandas/15. .value_counts() Method.mp4 7.7 MB
7. Series Pandas/16. .apply() and .map() method.mp4 33.3 MB
7. Series Pandas/2. Introduction to Series.mp4 51.47 MB
7. Series Pandas/3. Create Series from Python Object.mp4 47.72 MB
7. Series Pandas/4. Create Series from CSV file.mp4 48.2 MB
7. Series Pandas/6. Series attributes & methods.mp4 58.37 MB
7. Series Pandas/8. Label indexing.mp4 19.43 MB
8. Data Frame Pandas/1. Introduction to Data Frame.mp4 73.01 MB
8. Data Frame Pandas/10. Filtering Data with .isin() method.mp4 37.2 MB
8. Data Frame Pandas/11. Filtering Data with .between() method.mp4 28.55 MB
8. Data Frame Pandas/12. unique() & nunique() method.mp4 29.92 MB
8. Data Frame Pandas/13. sorting values.mp4 84.74 MB
8. Data Frame Pandas/14. sort index and inplace parameter.mp4 37.7 MB
8. Data Frame Pandas/15. .loc() and .iloc() method.mp4 75.04 MB
8. Data Frame Pandas/16. .ix() method.mp4 22.01 MB
8. Data Frame Pandas/17. .astype() method - optimize memory requirement.mp4 49.88 MB
8. Data Frame Pandas/18. set_index() change index column.mp4 34.22 MB
8. Data Frame Pandas/19. .apply() method on single column.mp4 34.76 MB
8. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 85.44 MB
8. Data Frame Pandas/20. .apply() method on multiple column.mp4 55.58 MB
8. Data Frame Pandas/21. Fetch random sample.mp4 29.02 MB
8. Data Frame Pandas/3. Data frame attributes and methods.mp4 83.4 MB
8. Data Frame Pandas/4. Adding new column.mp4 30.55 MB
8. Data Frame Pandas/5. Select one or more than one column.mp4 44.87 MB
8. Data Frame Pandas/6. Broadcasting operation.mp4 28.46 MB
8. Data Frame Pandas/7. Drop missing row or column.mp4 35.95 MB
8. Data Frame Pandas/8. Filtering Data with one condition.mp4 68.55 MB
8. Data Frame Pandas/9. Filtering Data with multiple condition.mp4 38.81 MB
9. Pandas Exercise/1. Exercise Overview Google App store dataset.mp4 28.68 MB
9. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 132.99 MB
9. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 131.72 MB
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