Download Bite-Sized Data Science with Python and Pandas: Introduction [2015, ENG] Torrent

Bite-Sized Data Science with Python and Pandas: Introduction [2015, ENG]

01 Welcome, information about this course

001 Introduction.mp4

MP4

4.75 MB

02 Setting up Python and Libraries

001 File and command to install all necessary libraries at once, with pip.html	HTML	1.38 KB
001 If you already have Python installed.mp4	MP4	27.51 MB
002 Links to help you install pip.html	HTML	1.87 KB
002 The libraries, explained.mp4	MP4	21 MB
003 If you want to install Python and the libraries at once.mp4	MP4	10.78 MB

03 Our data set the Parkinsons Telemedicine Dataset

	001 Downloading the data.mp4	MP4	30.69 MB
	002 A quick explanation of the dataset.mp4	MP4	20.43 MB

04 Starting our analysis

	001 Starting a new iPython Notebook.mp4	MP4	25.01 MB
	002 Loading the data into our iPython Notebook.mp4	MP4	19.66 MB

05 Manipulating data with pandas, the data analysis library

001 Coding Exercise summary statistics.html	HTML	2.07 KB
001 DataFrames are data tables.mp4	MP4	18.83 MB
002 Series are single rows or columns of data.mp4	MP4	32.69 MB
003 Slicing DataFrames to get the data we need.mp4	MP4	23.33 MB
004 Keeping track of the variable names we need.mp4	MP4	18.29 MB

06 Visualizing the data to understand it better before modeling

001 Coding exercise a single correlation.html	HTML	1.74 KB
001 Looking at the datas distributions with box plots and histograms.mp4	MP4	18.93 MB
002 Seeing multicolinearity with a scatter plot matrix.mp4	MP4	27.65 MB

07 Transforming the data to prepare it for modeling

001 Coding exercise practicing apply.html	HTML	1.69 KB
001 Taking care of multicolinearity.mp4	MP4	18.97 MB
002 Log transforming data to take care of skewed distributions.mp4	MP4	61.03 MB

08 Modeling the data

MP4

35.55 MB

09 Conclusion

	001 Download the data and iPython notebook that was used throughout this lecture.html	HTML	1.47 KB
	001 Thank you.mp4	MP4	3.15 MB

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Bite-Sized Data Science with Python and Pandas: Introduction [2015, ENG]

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