Download Python for Data Science and Machine Learning Essential Training Part 1 Torrent

Torrent Contents Size: 1 MB

Python for Data Science and Machine Learning Essential Training Part 1

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01 - Cleaning and treating categorical variables.mp4	MP4	25.2 MB
01 - Cleaning and treating categorical variables.srt	SRT	14.3 KB
01 - Data science life hacks.mp4	MP4	2.4 MB
01 - Data science life hacks.srt	SRT	1.3 KB
01 - Importance of visualization in data science.mp4	MP4	5.1 MB
01 - Importance of visualization in data science.srt	SRT	6.2 KB
01 - Intro to data preparation.mp4	MP4	5.3 MB
01 - Intro to data preparation.srt	SRT	5.1 KB
01 - Introduction of web scraping.mp4	MP4	3.7 MB
01 - Introduction of web scraping.srt	SRT	4 KB
01 - Introduction to Streamlit.mp4	MP4	7.1 MB
01 - Introduction to Streamlit.srt	SRT	8.4 KB
01 - Introduction to the data professions.mp4	MP4	21.8 MB
01 - Introduction to the data professions.srt	SRT	23.5 KB
01 - Introduction to the matplotlib and Seaborn libraries.mp4	MP4	38.7 MB
01 - Introduction to the matplotlib and Seaborn libraries.srt	SRT	21.3 KB
01 - Next steps.mp4	MP4	1.7 MB
01 - Next steps.srt	SRT	2 KB
01 - Simple arithmetic.mp4	MP4	16.7 MB
01 - Simple arithmetic.srt	SRT	11.5 KB
02 - Creating standard data graphics.mp4	MP4	21.2 MB
02 - Creating standard data graphics.srt	SRT	13.5 KB
02 - Data science careers Identifying where and how you'll thrive.mp4	MP4	14.7 MB
02 - Data science careers Identifying where and how you'll thrive.srt	SRT	7.3 KB
02 - Environment setup.mp4	MP4	6 MB
02 - Environment setup.srt	SRT	4.1 KB
02 - Generating summary statistics.mp4	MP4	20.1 MB
02 - Generating summary statistics.srt	SRT	14 KB
02 - Numpy and pandas basics.mp4	MP4	6.7 MB
02 - Numpy and pandas basics.srt	SRT	5.9 KB
02 - Python requests for automating data collection.mp4	MP4	18.9 MB
02 - Python requests for automating data collection.srt	SRT	12.7 KB
02 - The three types of data visualization.mp4	MP4	14.4 MB
02 - The three types of data visualization.srt	SRT	15.2 KB
02 - Transforming data set distributions.mp4	MP4	14.4 MB
02 - Transforming data set distributions.srt	SRT	9.7 KB
02 - What you should know.mp4	MP4	1.3 MB
02 - What you should know.srt	SRT	1.7 KB
03 - Applied machine learning Starter problem.mp4	MP4	18 MB
03 - Applied machine learning Starter problem.srt	SRT	11.8 KB
03 - BeautifulSoup object.mp4	MP4	46.6 MB
03 - BeautifulSoup object.srt	SRT	25.3 KB
03 - Create basic charts.mp4	MP4	21 MB
03 - Create basic charts.srt	SRT	10.4 KB
03 - Defining elements of a plot.mp4	MP4	25 MB
03 - Defining elements of a plot.srt	SRT	15.8 KB
03 - Filtering and selecting.mp4	MP4	34.9 MB
03 - Filtering and selecting.srt	SRT	17.4 KB
03 - How to use Codespaces with this course.mp4	MP4	7.3 MB
03 - How to use Codespaces with this course.srt	SRT	4.1 KB
03 - Selecting optimal data graphics.mp4	MP4	16.4 MB
03 - Selecting optimal data graphics.srt	SRT	11.7 KB
03 - Summarizing categorical data.mp4	MP4	21.4 MB
03 - Summarizing categorical data.srt	SRT	14.5 KB
03 - Why to use Python for analytics.mp4	MP4	10.2 MB
03 - Why to use Python for analytics.srt	SRT	9.7 KB
04 - Communicating with color and context.mp4	MP4	11.8 MB
04 - Communicating with color and context.srt	SRT	11.4 KB
04 - High-level course road map.mp4	MP4	2.6 MB
04 - High-level course road map.srt	SRT	2.7 KB
04 - Line charts in Streamlit.mp4	MP4	18.3 MB
04 - Line charts in Streamlit.srt	SRT	9.8 KB
04 - NavigableString objects.mp4	MP4	29.1 MB
04 - NavigableString objects.srt	SRT	14 KB
04 - Pearson correlation analysis.mp4	MP4	35.5 MB
04 - Pearson correlation analysis.srt	SRT	23 KB
04 - Plot formatting.mp4	MP4	33.2 MB
04 - Plot formatting.srt	SRT	17.5 KB
04 - Treating missing values.mp4	MP4	37.5 MB
04 - Treating missing values.srt	SRT	22.5 KB
05 - Bar charts and pie charts in Streamlit.mp4	MP4	23.3 MB
05 - Bar charts and pie charts in Streamlit.srt	SRT	12.6 KB
05 - Creating labels and annotations.mp4	MP4	41.7 MB
05 - Creating labels and annotations.srt	SRT	23.8 KB
05 - Data parsing.mp4	MP4	37.9 MB
05 - Data parsing.srt	SRT	17.5 KB
05 - Removing duplicates.mp4	MP4	17.7 MB
05 - Removing duplicates.srt	SRT	9.1 KB
05 - Spearman rank correlation and Chi-square.mp4	MP4	31.7 MB
05 - Spearman rank correlation and Chi-square.srt	SRT	18.7 KB
06 - Concatenating and transforming.mp4	MP4	27.9 MB
06 - Concatenating and transforming.srt	SRT	15.4 KB
06 - Create statistical charts.mp4	MP4	20.2 MB
06 - Create statistical charts.srt	SRT	8.8 KB
06 - Extreme value analysis for outliers.mp4	MP4	28.8 MB
06 - Extreme value analysis for outliers.srt	SRT	19.1 KB
06 - Visualizing time series.mp4	MP4	18.1 MB
06 - Visualizing time series.srt	SRT	11.1 KB
06 - Web scraping in practice.mp4	MP4	36.2 MB
06 - Web scraping in practice.srt	SRT	18 KB
07 - Asynchronous scraping.mp4	MP4	46.7 MB
07 - Asynchronous scraping.srt	SRT	25.2 KB
07 - Creating statistical data graphics in Seaborn.mp4	MP4	31.8 MB
07 - Creating statistical data graphics in Seaborn.srt	SRT	17.3 KB
07 - Grouping and aggregation.mp4	MP4	13.1 MB
07 - Grouping and aggregation.srt	SRT	8.3 KB
07 - Multivariate analysis for outliers.mp4	MP4	17 MB
07 - Multivariate analysis for outliers.srt	SRT	10.4 KB
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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Python for Data Science and Machine Learning Essential Training Part 1

Torrent Contents Size: 1 MB

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