Udemy - Bite-Sized Data Science with Python Introduction -移花宫-武林禁地，闲人禁止入内

Udemy - Bite-Sized Data Science with Python Introduction

磁力链接/BT种子名称

Udemy - Bite-Sized Data Science with Python Introduction

磁力链接/BT种子简介

种子哈希：051b600e65250a9ccb7f66be064cd485d0227b4e
文件大小：418.28M
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收录时间：2017-02-08
最近下载：2025-05-23

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文件列表

01 Welcome, information about this course/001 Introduction.mp4 5.0 MB
02 Setting up Python and Libraries/001 File and command to install all necessary libraries at once, with pip.html 1.4 kB
02 Setting up Python and Libraries/001 If you already have Python installed.mp4 28.8 MB
02 Setting up Python and Libraries/002 Links to help you install pip.html 1.9 kB
02 Setting up Python and Libraries/002 The libraries, explained.mp4 22.0 MB
02 Setting up Python and Libraries/003 If you want to install Python and the libraries at once.mp4 11.3 MB
03 Our data set the Parkinsons Telemedicine Dataset/001 Downloading the data.mp4 32.2 MB
03 Our data set the Parkinsons Telemedicine Dataset/002 A quick explanation of the dataset.mp4 21.4 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
05 Manipulating data with pandas, the data analysis library/001 Coding Exercise summary statistics.html 2.1 kB
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/003 Slicing DataFrames to get the data we need.mp4 24.5 MB
05 Manipulating data with pandas, the data analysis library/004 Keeping track of the variable names we need.mp4 19.2 MB
06 Visualizing the data to understand it better before modeling/001 Coding exercise a single correlation.html 1.8 kB
06 Visualizing the data to understand it better before modeling/001 Looking at the datas distributions with box plots and histograms.mp4 19.9 MB
06 Visualizing the data to understand it better before modeling/002 Seeing multicolinearity with a scatter plot matrix.mp4 29.0 MB
07 Transforming the data to prepare it for modeling/001 Coding exercise practicing apply.html 1.7 kB
07 Transforming the data to prepare it for modeling/001 Taking care of multicolinearity.mp4 19.9 MB
07 Transforming the data to prepare it for modeling/002 Log transforming data to take care of skewed distributions.mp4 64.0 MB
08 Modeling the data/001 Applying a multiple regression to answer the ultimate question.mp4 37.3 MB
09 Conclusion/001 Download the data and iPython notebook that was used throughout this lecture.html 1.5 kB
09 Conclusion/001 Thank you.mp4 3.3 MB