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Download [ DevCourseWeb.com ] Python for Data Science and Machine Learning Essential Training Part 1

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[ DevCourseWeb.com ] Python for Data Science and Machine Learning Essential Training Part 1

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Total Size

1.1 GB

Total Files

100

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Hash

DFA567D871F56BEC4FCB5921C33507AA24E14C27

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0.2 KB

/01 - Introduction/

01 - Data science life hacks.mp4

2.6 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

7.7 MB

03 - How to use Codespaces with this course.srt

4.2 KB

/.../02 - 1. Introduction to the Data Professions/

01 - Introduction to the data professions.mp4

22.9 MB

01 - Introduction to the data professions.srt

24.0 KB

02 - Data science careers Identifying where and how you'll thrive.mp4

15.4 MB

02 - Data science careers Identifying where and how you'll thrive.srt

7.5 KB

03 - Why to use Python for analytics.mp4

10.7 MB

03 - Why to use Python for analytics.srt

10.0 KB

04 - High-level course road map.mp4

2.7 MB

04 - High-level course road map.srt

2.8 KB

/.../03 - 2. Data Preparation Basics/

01 - Intro to data preparation.mp4

5.5 MB

01 - Intro to data preparation.srt

5.2 KB

02 - Numpy and pandas basics.mp4

7.1 MB

02 - Numpy and pandas basics.srt

6.1 KB

03 - Filtering and selecting.mp4

36.6 MB

03 - Filtering and selecting.srt

17.9 KB

04 - Treating missing values.mp4

39.4 MB

04 - Treating missing values.srt

23.1 KB

05 - Removing duplicates.mp4

18.5 MB

05 - Removing duplicates.srt

9.3 KB

06 - Concatenating and transforming.mp4

29.2 MB

06 - Concatenating and transforming.srt

15.8 KB

07 - Grouping and aggregation.mp4

13.7 MB

07 - Grouping and aggregation.srt

8.5 KB

/.../04 - 3. Data Visualization 101/

01 - Importance of visualization in data science.mp4

5.3 MB

01 - Importance of visualization in data science.srt

6.3 KB

02 - The three types of data visualization.mp4

15.1 MB

02 - The three types of data visualization.srt

15.6 KB

03 - Selecting optimal data graphics.mp4

17.2 MB

03 - Selecting optimal data graphics.srt

12.0 KB

04 - Communicating with color and context.mp4

12.4 MB

04 - Communicating with color and context.srt

11.7 KB

/.../05 - 4. Practical Data Visualization/

01 - Introduction to the matplotlib and Seaborn libraries.mp4

40.6 MB

01 - Introduction to the matplotlib and Seaborn libraries.srt

21.8 KB

02 - Creating standard data graphics.mp4

22.3 MB

02 - Creating standard data graphics.srt

13.8 KB

03 - Defining elements of a plot.mp4

26.3 MB

03 - Defining elements of a plot.srt

16.1 KB

04 - Plot formatting.mp4

34.9 MB

04 - Plot formatting.srt

17.9 KB

05 - Creating labels and annotations.mp4

43.7 MB

05 - Creating labels and annotations.srt

24.3 KB

06 - Visualizing time series.mp4

19.0 MB

06 - Visualizing time series.srt

11.4 KB

07 - Creating statistical data graphics in Seaborn.mp4

33.3 MB

07 - Creating statistical data graphics in Seaborn.srt

17.7 KB

/.../06 - 5. Exploratory Data Analysis/

01 - Simple arithmetic.mp4

17.5 MB

01 - Simple arithmetic.srt

11.8 KB

02 - Generating summary statistics.mp4

21.1 MB

02 - Generating summary statistics.srt

14.4 KB

03 - Summarizing categorical data.mp4

22.4 MB

03 - Summarizing categorical data.srt

14.8 KB

04 - Pearson correlation analysis.mp4

37.2 MB

04 - Pearson correlation analysis.srt

23.6 KB

05 - Spearman rank correlation and Chi-square.mp4

33.2 MB

05 - Spearman rank correlation and Chi-square.srt

19.2 KB

06 - Extreme value analysis for outliers.mp4

30.2 MB

06 - Extreme value analysis for outliers.srt

19.5 KB

07 - Multivariate analysis for outliers.mp4

17.8 MB

07 - Multivariate analysis for outliers.srt

10.7 KB

/.../07 - 6. Getting Started with Machine Learning/

01 - Cleaning and treating categorical variables.mp4

26.5 MB

01 - Cleaning and treating categorical variables.srt

14.7 KB

02 - Transforming data set distributions.mp4

15.1 MB

02 - Transforming data set distributions.srt

9.9 KB

03 - Applied machine learning Starter problem.mp4

18.8 MB

03 - Applied machine learning Starter problem.srt

12.1 KB

/.../08 - 7. Data Sourcing via Web Scraping/

01 - Introduction of web scraping.mp4

3.9 MB

01 - Introduction of web scraping.srt

4.1 KB

02 - Python requests for automating data collection.mp4

19.8 MB

02 - Python requests for automating data collection.srt

13.0 KB

03 - BeautifulSoup object.mp4

48.9 MB

03 - BeautifulSoup object.srt

25.9 KB

04 - NavigableString objects.mp4

30.6 MB

04 - NavigableString objects.srt

14.3 KB

05 - Data parsing.mp4

39.8 MB

05 - Data parsing.srt

17.9 KB

06 - Web scraping in practice.mp4

37.9 MB

06 - Web scraping in practice.srt

18.5 KB

07 - Asynchronous scraping.mp4

49.0 MB

07 - Asynchronous scraping.srt

25.8 KB

/.../09 - 8. Collaborative Analytics with Streamlit/

01 - Introduction to Streamlit.mp4

7.4 MB

01 - Introduction to Streamlit.srt

8.6 KB

02 - Environment setup.mp4

6.2 MB

02 - Environment setup.srt

4.2 KB

03 - Create basic charts.mp4

22.0 MB

03 - Create basic charts.srt

10.7 KB

04 - Line charts in Streamlit.mp4

19.2 MB

04 - Line charts in Streamlit.srt

10.0 KB

05 - Bar charts and pie charts in Streamlit.mp4

24.4 MB

05 - Bar charts and pie charts in Streamlit.srt

12.9 KB

06 - Create statistical charts.mp4

21.2 MB

06 - Create statistical charts.srt

9.0 KB

/10 - Conclusion/

01 - Next steps.mp4

1.8 MB

01 - Next steps.srt

2.0 KB

~Get Your Files Here !/

Bonus Resources.txt

0.4 KB

 

Total files 100


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