Udemy - Bite-Sized Data Science with Python Introduction
- 收录时间:2018-03-21 19:52:30
- 文件大小:418MB
- 下载次数:194
- 最近下载:2021-01-22 22:47:26
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文件列表
- 07 Transforming the data to prepare it for modeling/002 Log transforming data to take care of skewed distributions.mp4 61MB
- 08 Modeling the data/001 Applying a multiple regression to answer the ultimate question.mp4 36MB
- 05 Manipulating data with pandas, the data analysis library/002 Series are single rows or columns of data.mp4 33MB
- 03 Our data set the Parkinsons Telemedicine Dataset/001 Downloading the data.mp4 31MB
- 06 Visualizing the data to understand it better before modeling/002 Seeing multicolinearity with a scatter plot matrix.mp4 28MB
- 02 Setting up Python and Libraries/001 If you already have Python installed.mp4 28MB
- 04 Starting our analysis/001 Starting a new iPython Notebook.mp4 25MB
- 05 Manipulating data with pandas, the data analysis library/003 Slicing DataFrames to get the data we need.mp4 23MB
- 02 Setting up Python and Libraries/002 The libraries, explained.mp4 21MB
- 03 Our data set the Parkinsons Telemedicine Dataset/002 A quick explanation of the dataset.mp4 20MB
- 04 Starting our analysis/002 Loading the data into our iPython Notebook.mp4 20MB
- 07 Transforming the data to prepare it for modeling/001 Taking care of multicolinearity.mp4 19MB
- 06 Visualizing the data to understand it better before modeling/001 Looking at the datas distributions with box plots and histograms.mp4 19MB
- 05 Manipulating data with pandas, the data analysis library/001 DataFrames are data tables.mp4 19MB
- 05 Manipulating data with pandas, the data analysis library/004 Keeping track of the variable names we need.mp4 18MB
- 02 Setting up Python and Libraries/003 If you want to install Python and the libraries at once.mp4 11MB
- 01 Welcome, information about this course/001 Introduction.mp4 5MB
- 09 Conclusion/001 Thank you.mp4 3MB
- 05 Manipulating data with pandas, the data analysis library/001 Coding Exercise summary statistics.html 2KB
- 02 Setting up Python and Libraries/002 Links to help you install pip.html 2KB
- 06 Visualizing the data to understand it better before modeling/001 Coding exercise a single correlation.html 2KB
- 07 Transforming the data to prepare it for modeling/001 Coding exercise practicing apply.html 2KB
- 09 Conclusion/001 Download the data and iPython notebook that was used throughout this lecture.html 1KB
- 02 Setting up Python and Libraries/001 File and command to install all necessary libraries at once, with pip.html 1KB
