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[ DevCourseWeb com ] Python for Data Science and Machine Learning Essential Training Part 1
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01 - Introduction
01 - Data science life hacks.mp4
01 - Data science life hacks.srt
02 - What you should know.mp4
02 - What you should know.srt
03 - How to use Codespaces with this course.mp4
03 - How to use Codespaces with this course.srt
02 - 1. Introduction to the Data Professions
01 - Introduction to the data professions.mp4
01 - Introduction to the data professions.srt
02 - Data science careers Identifying where and how you'll thrive.mp4
02 - Data science careers Identifying where and how you'll thrive.srt
03 - Why to use Python for analytics.mp4
03 - Why to use Python for analytics.srt
04 - High-level course road map.mp4
04 - High-level course road map.srt
03 - 2. Data Preparation Basics
01 - Intro to data preparation.mp4
01 - Intro to data preparation.srt
02 - Numpy and pandas basics.mp4
02 - Numpy and pandas basics.srt
03 - Filtering and selecting.mp4
03 - Filtering and selecting.srt
04 - Treating missing values.mp4
04 - Treating missing values.srt
05 - Removing duplicates.mp4
05 - Removing duplicates.srt
06 - Concatenating and transforming.mp4
06 - Concatenating and transforming.srt
07 - Grouping and aggregation.mp4
07 - Grouping and aggregation.srt
04 - 3. Data Visualization 101
01 - Importance of visualization in data science.mp4
01 - Importance of visualization in data science.srt
02 - The three types of data visualization.mp4
02 - The three types of data visualization.srt
03 - Selecting optimal data graphics.mp4
03 - Selecting optimal data graphics.srt
04 - Communicating with color and context.mp4
04 - Communicating with color and context.srt
05 - 4. Practical Data Visualization
01 - Introduction to the matplotlib and Seaborn libraries.mp4
01 - Introduction to the matplotlib and Seaborn libraries.srt
02 - Creating standard data graphics.mp4
02 - Creating standard data graphics.srt
03 - Defining elements of a plot.mp4
03 - Defining elements of a plot.srt
04 - Plot formatting.mp4
04 - Plot formatting.srt
05 - Creating labels and annotations.mp4
05 - Creating labels and annotations.srt
06 - Visualizing time series.mp4
06 - Visualizing time series.srt
07 - Creating statistical data graphics in Seaborn.mp4
07 - Creating statistical data graphics in Seaborn.srt
06 - 5. Exploratory Data Analysis
01 - Simple arithmetic.mp4
01 - Simple arithmetic.srt
02 - Generating summary statistics.mp4
02 - Generating summary statistics.srt
03 - Summarizing categorical data.mp4
03 - Summarizing categorical data.srt
04 - Pearson correlation analysis.mp4
04 - Pearson correlation analysis.srt
05 - Spearman rank correlation and Chi-square.mp4
05 - Spearman rank correlation and Chi-square.srt
06 - Extreme value analysis for outliers.mp4
06 - Extreme value analysis for outliers.srt
07 - Multivariate analysis for outliers.mp4
07 - Multivariate analysis for outliers.srt
07 - 6. Getting Started with Machine Learning
01 - Cleaning and treating categorical variables.mp4
01 - Cleaning and treating categorical variables.srt
02 - Transforming data set distributions.mp4
02 - Transforming data set distributions.srt
03 - Applied machine learning Starter problem.mp4
03 - Applied machine learning Starter problem.srt
08 - 7. Data Sourcing via Web Scraping
01 - Introduction of web scraping.mp4
01 - Introduction of web scraping.srt
02 - Python requests for automating data collection.mp4
02 - Python requests for automating data collection.srt
03 - BeautifulSoup object.mp4
03 - BeautifulSoup object.srt
04 - NavigableString objects.mp4
04 - NavigableString objects.srt
05 - Data parsing.mp4
05 - Data parsing.srt
06 - Web scraping in practice.mp4
06 - Web scraping in practice.srt
07 - Asynchronous scraping.mp4
07 - Asynchronous scraping.srt
09 - 8. Collaborative Analytics with Streamlit
01 - Introduction to Streamlit.mp4
01 - Introduction to Streamlit.srt
02 - Environment setup.mp4
02 - Environment setup.srt
03 - Create basic charts.mp4
03 - Create basic charts.srt
04 - Line charts in Streamlit.mp4
04 - Line charts in Streamlit.srt
05 - Bar charts and pie charts in Streamlit.mp4
05 - Bar charts and pie charts in Streamlit.srt
06 - Create statistical charts.mp4
06 - Create statistical charts.srt
10 - Conclusion
01 - Next steps.mp4
01 - Next steps.srt
Bonus Resources.txt
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