Udemy - Bite-Sized Data Science with Python Introduction
Udemy - Bite-Sized Data Science with Python Introduction metadata, size 418.28 MB, 24 files, category video, indexed at 2026-07-22.
资源标识
Infohash051b600e65250a9ccb7f66be064cd485d0227b4e
总大小418.3 MB
格式mp4
分类视频
文件数24
发掘时间(北京时间)2026-07-22 08:10:41
最后活跃(北京时间)2026-07-22 08:10:41
下载标识
完整磁力链接
magnet:?xt=urn:btih:051b600e65250a9ccb7f66be064cd485d0227b4e&dn=Udemy%20-%20Bite-Sized%20Data%20Science%20with%20Python%20Introduction
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文件列表
| 文件名 | 格式 | 大小 |
|---|---|---|
| 001 Introduction.mp4 | mp4 | 4.8 MB |
| 001 File and command to install all necessary libraries at once, with pip.html | html | 1.4 KB |
| 001 If you already have Python installed.mp4 | mp4 | 27.5 MB |
| 002 Links to help you install pip.html | html | 1.9 KB |
| 002 The libraries, explained.mp4 | mp4 | 21.0 MB |
| 003 If you want to install Python and the libraries at once.mp4 | mp4 | 10.8 MB |
| 001 Downloading the data.mp4 | mp4 | 30.7 MB |
| 002 A quick explanation of the dataset.mp4 | mp4 | 20.4 MB |
| 001 Starting a new iPython Notebook.mp4 | mp4 | 25.0 MB |
| 002 Loading the data into our iPython Notebook.mp4 | mp4 | 19.7 MB |
| 001 Coding Exercise summary statistics.html | html | 2.1 KB |
| 001 DataFrames are data tables.mp4 | mp4 | 18.8 MB |
| 002 Series are single rows or columns of data.mp4 | mp4 | 32.7 MB |
| 003 Slicing DataFrames to get the data we need.mp4 | mp4 | 23.3 MB |
| 004 Keeping track of the variable names we need.mp4 | mp4 | 18.3 MB |
| 001 Coding exercise a single correlation.html | html | 1.7 KB |
| 001 Looking at the datas distributions with box plots and histograms.mp4 | mp4 | 18.9 MB |
| 002 Seeing multicolinearity with a scatter plot matrix.mp4 | mp4 | 27.7 MB |
| 001 Coding exercise practicing apply.html | html | 1.7 KB |
| 001 Taking care of multicolinearity.mp4 | mp4 | 19.0 MB |
| 002 Log transforming data to take care of skewed distributions.mp4 | mp4 | 61.0 MB |
| 001 Applying a multiple regression to answer the ultimate question.mp4 | mp4 | 35.5 MB |
| 001 Download the data and iPython notebook that was used throughout this lecture.html | html | 1.5 KB |
| 001 Thank you.mp4 | mp4 | 3.2 MB |
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