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Category:
Language:
English
Total Size:
1.7 GB
Info Hash:
D98B02509A0ADAF1307A3AA2D71BD519B67FED75
Added By:
Added:
Aug. 28, 2023, 8:04 p.m.
Stats:
|
(Last updated: May 21, 2025, 6:22 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 183 bytes |
| 1. Understanding data manipulation process.mp4 | 54.6 MB |
| 1.1 Data Manipulation with Python + ChatGPT.ipynb | 712.9 KB |
| Extra data.xlsx | 22.3 KB |
| Practice data.csv | 14.6 KB |
| Practice data.xlsx | 22.1 KB |
| additional_data.xlsx | 21.4 KB |
| sales data.xlsx | 84.4 KB |
| _Extra data.xlsx | 344 bytes |
| _Practice data.csv | 344 bytes |
| _Practice data.xlsx | 344 bytes |
| _additional_data.xlsx | 344 bytes |
| _sales data.xlsx | 344 bytes |
| 1. Python for Data Analysis (An Overview).mp4 | 31.9 MB |
| 2. Installation and activation of Python for windows.html | 131 bytes |
| 2.1 Windows.pdf | 929.7 KB |
| 3. Installation and activation of Python for mac.html | 127 bytes |
| 3.1 Mac.pdf | 1.5 MB |
| 1. Setting up ChatGPT.html | 111 bytes |
| 1.1 Instructions of setting up ChatGPT.pdf | 409.1 KB |
| 2. Effortless python programming with ChatGPT (An Overview).mp4 | 26.0 MB |
| 1. Loading dataset in Jupyter notebook environment.mp4 | 31.7 MB |
| 2. Identifying and assigning correct data types.mp4 | 103.0 MB |
| 3. Defining and imputing techniques of missing values.mp4 | 153.6 MB |
| 4. Defining and removing abnormal values or harmful outliers.mp4 | 78.4 MB |
| 5. Defining and removing duplicates values from dataset.mp4 | 24.8 MB |
| 1. Feature encoding assigning numeric values to categorical variables.mp4 | 121.1 MB |
| 2. Feature binning converting numeric variables into categorical variables.mp4 | 82.8 MB |
| 3. Creating dummy variables of categorical variables.mp4 | 61.4 MB |
| 4. Sorting and filtering dataset following conditions.mp4 | 126.0 MB |
| 5. Merging two datasets horizontally or adding extra variables.mp4 | 90.6 MB |
| 6. Concatenating two datasets vertically or adding extra data.mp4 | 41.7 MB |
| 7. Various methods of transforming skewed data into normally distributed data.mp4 | 214.1 MB |
| 8. Extracting days, months and year from date variable.mp4 | 76.5 MB |
| 1. Categorical variables visualizations Bar chart, Pie chart and Line plot.mp4 | 277.0 MB |
| 2. Numeric variables visualizations Histogram, Boxplot and Scatterplot.mp4 | 139.0 MB |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
Size
S/L
Added
-
1.7 GB
[12
/
0]
2023-08-28
| Uploaded by FreeCourseWeb | Size 1.7 GB | Health [ 12 /0 ] | Added 2023-08-28 |
-
237.6 MB
[18
/
1]
2023-06-02
| Uploaded by freecoursewb | Size 237.6 MB | Health [ 18 /1 ] | Added 2023-06-02 |
-
1023.4 MB
[0
/
0]
2023-10-27
| Uploaded by freecoursewb | Size 1023.4 MB | Health [ 0 /0 ] | Added 2023-10-27 |
-
836.7 MB
[0
/
9]
2023-06-01
| Uploaded by freecoursewb | Size 836.7 MB | Health [ 0 /9 ] | Added 2023-06-01 |
-
298.6 KB
[7
/
0]
2024-01-21
| Uploaded by indexFroggy | Size 298.6 KB | Health [ 7 /0 ] | Added 2024-01-21 |
-
506.2 KB
[0
/
0]
2023-11-27
| Uploaded by FreeCourseWeb | Size 506.2 KB | Health [ 0 /0 ] | Added 2023-11-27 |
NOTE
SOURCE: Easy Python Hacks for Mastering Data Manipulation Techniques FreeCourseWeb
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