Torrent details for "Python for Data Science and Machine Learning Essential Training …" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
English
Total Size:
1006.9 MB
Info Hash:
DFA567D871F56BEC4FCB5921C33507AA24E14C27
Added By:
Added:
March 21, 2024, 4:45 p.m.
Stats:
|
(Last updated: May 10, 2025, 8:13 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| 01 - Data science life hacks.mp4 | 2.4 MB |
| 01 - Data science life hacks.srt | 1.3 KB |
| 02 - What you should know.mp4 | 1.3 MB |
| 02 - What you should know.srt | 1.7 KB |
| 03 - How to use Codespaces with this course.mp4 | 7.3 MB |
| 03 - How to use Codespaces with this course.srt | 4.1 KB |
| 01 - Introduction to the data professions.mp4 | 21.8 MB |
| 01 - Introduction to the data professions.srt | 23.5 KB |
| 02 - Data science careers Identifying where and how you'll thrive.mp4 | 14.7 MB |
| 02 - Data science careers Identifying where and how you'll thrive.srt | 7.3 KB |
| 03 - Why to use Python for analytics.mp4 | 10.2 MB |
| 03 - Why to use Python for analytics.srt | 9.7 KB |
| 04 - High-level course road map.mp4 | 2.6 MB |
| 04 - High-level course road map.srt | 2.7 KB |
| 01 - Intro to data preparation.mp4 | 5.3 MB |
| 01 - Intro to data preparation.srt | 5.1 KB |
| 02 - Numpy and pandas basics.mp4 | 6.7 MB |
| 02 - Numpy and pandas basics.srt | 5.9 KB |
| 03 - Filtering and selecting.mp4 | 34.9 MB |
| 03 - Filtering and selecting.srt | 17.4 KB |
| 04 - Treating missing values.mp4 | 37.5 MB |
| 04 - Treating missing values.srt | 22.5 KB |
| 05 - Removing duplicates.mp4 | 17.7 MB |
| 05 - Removing duplicates.srt | 9.1 KB |
| 06 - Concatenating and transforming.mp4 | 27.9 MB |
| 06 - Concatenating and transforming.srt | 15.4 KB |
| 07 - Grouping and aggregation.mp4 | 13.1 MB |
| 07 - Grouping and aggregation.srt | 8.3 KB |
| 01 - Importance of visualization in data science.mp4 | 5.1 MB |
| 01 - Importance of visualization in data science.srt | 6.2 KB |
| 02 - The three types of data visualization.mp4 | 14.4 MB |
| 02 - The three types of data visualization.srt | 15.2 KB |
| 03 - Selecting optimal data graphics.mp4 | 16.4 MB |
| 03 - Selecting optimal data graphics.srt | 11.7 KB |
| 04 - Communicating with color and context.mp4 | 11.8 MB |
| 04 - Communicating with color and context.srt | 11.4 KB |
| 01 - Introduction to the matplotlib and Seaborn libraries.mp4 | 38.7 MB |
| 01 - Introduction to the matplotlib and Seaborn libraries.srt | 21.3 KB |
| 02 - Creating standard data graphics.mp4 | 21.2 MB |
| 02 - Creating standard data graphics.srt | 13.5 KB |
| 03 - Defining elements of a plot.mp4 | 25.0 MB |
| 03 - Defining elements of a plot.srt | 15.8 KB |
| 04 - Plot formatting.mp4 | 33.2 MB |
| 04 - Plot formatting.srt | 17.5 KB |
| 05 - Creating labels and annotations.mp4 | 41.7 MB |
| 05 - Creating labels and annotations.srt | 23.8 KB |
| 06 - Visualizing time series.mp4 | 18.1 MB |
| 06 - Visualizing time series.srt | 11.1 KB |
| 07 - Creating statistical data graphics in Seaborn.mp4 | 31.8 MB |
| 07 - Creating statistical data graphics in Seaborn.srt | 17.3 KB |
| 01 - Simple arithmetic.mp4 | 16.7 MB |
| 01 - Simple arithmetic.srt | 11.5 KB |
| 02 - Generating summary statistics.mp4 | 20.1 MB |
| 02 - Generating summary statistics.srt | 14.0 KB |
| 03 - Summarizing categorical data.mp4 | 21.4 MB |
| 03 - Summarizing categorical data.srt | 14.5 KB |
| 04 - Pearson correlation analysis.mp4 | 35.5 MB |
| 04 - Pearson correlation analysis.srt | 23.0 KB |
| 05 - Spearman rank correlation and Chi-square.mp4 | 31.7 MB |
| 05 - Spearman rank correlation and Chi-square.srt | 18.7 KB |
| 06 - Extreme value analysis for outliers.mp4 | 28.8 MB |
| 06 - Extreme value analysis for outliers.srt | 19.1 KB |
| 07 - Multivariate analysis for outliers.mp4 | 17.0 MB |
| 07 - Multivariate analysis for outliers.srt | 10.4 KB |
| 01 - Cleaning and treating categorical variables.mp4 | 25.2 MB |
| 01 - Cleaning and treating categorical variables.srt | 14.3 KB |
| 02 - Transforming data set distributions.mp4 | 14.4 MB |
| 02 - Transforming data set distributions.srt | 9.7 KB |
| 03 - Applied machine learning Starter problem.mp4 | 18.0 MB |
| 03 - Applied machine learning Starter problem.srt | 11.8 KB |
| 01 - Introduction of web scraping.mp4 | 3.7 MB |
| 01 - Introduction of web scraping.srt | 4.0 KB |
| 02 - Python requests for automating data collection.mp4 | 18.9 MB |
| 02 - Python requests for automating data collection.srt | 12.7 KB |
| 03 - BeautifulSoup object.mp4 | 46.6 MB |
| 03 - BeautifulSoup object.srt | 25.3 KB |
| 04 - NavigableString objects.mp4 | 29.1 MB |
| 04 - NavigableString objects.srt | 14.0 KB |
| 05 - Data parsing.mp4 | 37.9 MB |
| 05 - Data parsing.srt | 17.5 KB |
| 06 - Web scraping in practice.mp4 | 36.2 MB |
| 06 - Web scraping in practice.srt | 18.0 KB |
| 07 - Asynchronous scraping.mp4 | 46.7 MB |
| 07 - Asynchronous scraping.srt | 25.2 KB |
| 01 - Introduction to Streamlit.mp4 | 7.1 MB |
| 01 - Introduction to Streamlit.srt | 8.4 KB |
| 02 - Environment setup.mp4 | 6.0 MB |
| 02 - Environment setup.srt | 4.1 KB |
| 03 - Create basic charts.mp4 | 21.0 MB |
| 03 - Create basic charts.srt | 10.4 KB |
| 04 - Line charts in Streamlit.mp4 | 18.3 MB |
| 04 - Line charts in Streamlit.srt | 9.8 KB |
| 05 - Bar charts and pie charts in Streamlit.mp4 | 23.3 MB |
| 05 - Bar charts and pie charts in Streamlit.srt | 12.6 KB |
| 06 - Create statistical charts.mp4 | 20.2 MB |
| 06 - Create statistical charts.srt | 8.8 KB |
| 01 - Next steps.mp4 | 1.7 MB |
| 01 - Next steps.srt | 2.0 KB |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
Size
S/L
Added
-
422.8 KB
[2
/
0]
2023-11-27
| Uploaded by FreeCourseWeb | Size 422.8 KB | Health [ 2 /0 ] | Added 2023-11-27 |
NOTE
SOURCE: Python for Data Science and Machine Learning Essential Training Part 1 DevCourseWeb
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
None
×