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Torrent File Content (42 files)
[ TutSala.com ] Linkedin - pandas Code Challenges
Get Bonus Downloads Here.url -
Get Bonus Downloads Here.url -
177 bytes
~Get Your Files Here !
01 - Introduction/01 - Stretch and test your knowledge with pandas code challenges.mp4 -
01 - Introduction/01 - Stretch and test your knowledge with pandas code challenges.mp4 -
11.9 MB
01 - Introduction/01 - Stretch and test your knowledge with pandas code challenges.srt -
1.83 KB
01 - Introduction/02 - What you should know.mp4 -
5.13 MB
01 - Introduction/02 - What you should know.srt -
2.78 KB
02 - 1. Reading and Initial Exploration of Data/01 - Read data from CSV and Excel files.mp4 -
10.9 MB
02 - 1. Reading and Initial Exploration of Data/01 - Read data from CSV and Excel files.srt -
5.98 KB
02 - 1. Reading and Initial Exploration of Data/02 - Check DataFrame information and identify types of columns.mp4 -
10.04 MB
02 - 1. Reading and Initial Exploration of Data/02 - Check DataFrame information and identify types of columns.srt -
5.43 KB
02 - 1. Reading and Initial Exploration of Data/03 - The summary statistics of numerical and categorical features.mp4 -
11.41 MB
02 - 1. Reading and Initial Exploration of Data/03 - The summary statistics of numerical and categorical features.srt -
6.68 KB
02 - 1. Reading and Initial Exploration of Data/04 - Add new columns to a DataFrame.mp4 -
11.61 MB
02 - 1. Reading and Initial Exploration of Data/04 - Add new columns to a DataFrame.srt -
5.91 KB
03 - 2. Indexing and Slicing/01 - Select specific columns in a DataFrame.mp4 -
13.33 MB
03 - 2. Indexing and Slicing/01 - Select specific columns in a DataFrame.srt -
6.2 KB
03 - 2. Indexing and Slicing/02 - Subset the data from labels using .loc[] method.mp4 -
15.35 MB
03 - 2. Indexing and Slicing/02 - Subset the data from labels using .loc[] method.srt -
7.22 KB
03 - 2. Indexing and Slicing/03 - Subset the data from indexing using .iloc[] method.mp4 -
10.67 MB
03 - 2. Indexing and Slicing/03 - Subset the data from indexing using .iloc[] method.srt -
4.79 KB
04 - 3. Data Cleaning/01 - Check for missing values.mp4 -
19.18 MB
04 - 3. Data Cleaning/01 - Check for missing values.srt -
11.08 KB
04 - 3. Data Cleaning/02 - Correct the data type of a column.mp4 -
15.95 MB
04 - 3. Data Cleaning/02 - Correct the data type of a column.srt -
7.57 KB
04 - 3. Data Cleaning/03 - Parse dates in time series data.mp4 -
18.62 MB
04 - 3. Data Cleaning/03 - Parse dates in time series data.srt -
10.93 KB
05 - 4. Filtering Data/01 - Write conditional statements to filter rows.mp4 -
7.69 MB
05 - 4. Filtering Data/01 - Write conditional statements to filter rows.srt -
3.14 KB
05 - 4. Filtering Data/02 - Chain multiple conditionals to narrow down the search.mp4 -
12.29 MB
05 - 4. Filtering Data/02 - Chain multiple conditionals to narrow down the search.srt -
6.01 KB
05 - 4. Filtering Data/03 - Using bitwise operators to filter rows.mp4 -
11.91 MB
05 - 4. Filtering Data/03 - Using bitwise operators to filter rows.srt -
5.77 KB
05 - 4. Filtering Data/04 - Filtering to find target demography.mp4 -
12.24 MB
05 - 4. Filtering Data/04 - Filtering to find target demography.srt -
6.06 KB
06 - 5. Grouping and Aggregation/01 - Apply the three-step process to group and aggregate data.mp4 -
12.06 MB
06 - 5. Grouping and Aggregation/01 - Apply the three-step process to group and aggregate data.srt -
5.8 KB
06 - 5. Grouping and Aggregation/02 - Group and aggregate multiple columns.mp4 -
7.7 MB
06 - 5. Grouping and Aggregation/02 - Group and aggregate multiple columns.srt -
3.93 KB
06 - 5. Grouping and Aggregation/03 - Apply a custom aggregate function.mp4 -
12.62 MB
06 - 5. Grouping and Aggregation/03 - Apply a custom aggregate function.srt -
6.89 KB
06 - 5. Grouping and Aggregation/04 - Calculate stock returns for every year since 2003.mp4 -
15.19 MB
06 - 5. Grouping and Aggregation/04 - Calculate stock returns for every year since 2003.srt -
7.36 KB
Bonus Resources.txt -
386 bytes
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