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fileUdemy-Bite-Sized-Data-Sc-xbrI

Udemy Sized Data Science with Python Introduction
  • MP401 Welcome infortion about this course\\/001 Introduction.mp44.75MB
  • MP402 Setting up Python and Libraries\\/001 If you already he Python installed.mp427.51MB
  • MP402 Setting up Python and Libraries\\/002 The libraries explained.mp421.00MB
  • MP402 Setting up Python and Libraries\\/003 If you want to install Python and the libraries at once.mp410.78MB
  • MP403 Our data set the Parkinsons Telemedicine Dataset\\/001 Downloading the data.mp430.69MB
  • MP403 Our data set the Parkinsons Telemedicine Dataset\\/002 A quick explanation of the dataset.mp420.43MB
  • MP404 Starting our analysis\\/001 Starting a new iPython Notebook.mp425.01MB
  • MP404 Starting our analysis\\/002 Loading the data into our iPython Notebook.mp419.66MB
  • MP405 nipulating data with pandas the data analysis library\\/001 Datafr<x>ames are data tables.mp418.83MB
  • MP405 nipulating data with pandas the data analysis library\\/002 Series are single rows or columns of data.mp432.69MB
  • MP405 nipulating data with pandas the data analysis library\\/003 Slicing Datafr<x>ames to get the data we need.mp423.33MB
  • MP405 nipulating data with pandas the data analysis library\\/004 Keeping track of the variable names we need.mp418.29MB
  • MP406 Visualizing the data to understand it better before modeling\\/001 Looking at the datas distributions with box plots and histograms.mp418.93MB
  • MP406 Visualizing the data to understand it better before modeling\\/002 Seeing multicolinearity with a scatter plot trix.mp427.65MB
  • MP407 Transforming the data to prepare it for modeling\\/001 Taking care of multicolinearity.mp418.97MB
  • MP407 Transforming the data to prepare it for modeling\\/002 Log transforming data to take care of skewed distributions.mp461.03MB
  • MP408 Modeling the data\\/001 Applying a multiple regression to answer the ultite question.mp435.55MB
  • MP409 Conclusion\\/001 Thank you.mp43.15MB
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