Udemy Bite Sized Data Science with Python Introduction 05 Manipulating data with pandas the data analysis library 004 Keeping track of the variable names we need mp4

Udemy Bite Sized Data Science with Python Introduction
05 Manipulating data with pandas the data analysis library 004 Keeping track of the variable names we need mp4

Name	Udemy - Bite-Sized Data Science with Python Introduction	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	438.6 MB
Total Files	24
Hash	051B600E65250A9CCB7F66BE064CD485D0227B4E

/05 Manipulating data with pandas, the data analysis library/004 Keeping track of the variable names we need.mp4	19.2 MB
/05 Manipulating data with pandas, the data analysis library/003 Slicing DataFrames to get the data we need.mp4	24.5 MB
/05 Manipulating data with pandas, the data analysis library/001 DataFrames are data tables.mp4	19.7 MB
/05 Manipulating data with pandas, the data analysis library/002 Series are single rows or columns of data.mp4	34.3 MB
/05 Manipulating data with pandas, the data analysis library/001 Coding Exercise summary statistics.html	2.1 KB
/07 Transforming the data to prepare it for modeling/001 Taking care of multicolinearity.mp4	19.9 MB
/02 Setting up Python and Libraries/002 The libraries, explained.mp4	22.0 MB
/08 Modeling the data/001 Applying a multiple regression to answer the ultimate question.mp4	37.3 MB
/02 Setting up Python and Libraries/001 If you already have Python installed.mp4	28.8 MB
/04 Starting our analysis/001 Starting a new iPython Notebook.mp4	26.2 MB
/04 Starting our analysis/002 Loading the data into our iPython Notebook.mp4	20.6 MB
/02 Setting up Python and Libraries/002 Links to help you install pip.html	1.9 KB
/02 Setting up Python and Libraries/003 If you want to install Python and the libraries at once.mp4	11.3 MB
/07 Transforming the data to prepare it for modeling/001 Coding exercise practicing apply.html	1.7 KB
/09 Conclusion/001 Download the data and iPython notebook that was used throughout this lecture.html	1.5 KB
Showing first 15 files of 24 total files