Udemy - Bite-Sized Data Science with Python Introduction

大小 418.28 MB

文件数 24

Info Hash: 051B600E65250A9CCB7F66BE064CD485D0227B4E

收录时间 2026-02-09 13:35:34

更新时间 2026-02-09 13:35:34

文件列表 (24)

01 Welcome, information about this course/001 Introduction.mp4

4.75 MB

02 Setting up Python and Libraries/001 File and command to install all necessary libraries at once, with pip.html

1.38 KB

02 Setting up Python and Libraries/001 If you already have Python installed.mp4

27.51 MB

02 Setting up Python and Libraries/002 Links to help you install pip.html

1.87 KB

02 Setting up Python and Libraries/002 The libraries, explained.mp4

21 MB

02 Setting up Python and Libraries/003 If you want to install Python and the libraries at once.mp4

10.78 MB

03 Our data set the Parkinsons Telemedicine Dataset/001 Downloading the data.mp4

30.69 MB

03 Our data set the Parkinsons Telemedicine Dataset/002 A quick explanation of the dataset.mp4

20.43 MB

04 Starting our analysis/001 Starting a new iPython Notebook.mp4

25.01 MB

04 Starting our analysis/002 Loading the data into our iPython Notebook.mp4

19.66 MB

05 Manipulating data with pandas, the data analysis library/001 Coding Exercise summary statistics.html

2.07 KB

05 Manipulating data with pandas, the data analysis library/001 DataFrames are data tables.mp4

18.83 MB

05 Manipulating data with pandas, the data analysis library/002 Series are single rows or columns of data.mp4

32.69 MB

05 Manipulating data with pandas, the data analysis library/003 Slicing DataFrames to get the data we need.mp4

23.33 MB

05 Manipulating data with pandas, the data analysis library/004 Keeping track of the variable names we need.mp4

18.29 MB

06 Visualizing the data to understand it better before modeling/001 Coding exercise a single correlation.html

1.74 KB

06 Visualizing the data to understand it better before modeling/001 Looking at the datas distributions with box plots and histograms.mp4

18.93 MB

06 Visualizing the data to understand it better before modeling/002 Seeing multicolinearity with a scatter plot matrix.mp4

27.65 MB

07 Transforming the data to prepare it for modeling/001 Coding exercise practicing apply.html

1.69 KB

07 Transforming the data to prepare it for modeling/001 Taking care of multicolinearity.mp4

18.97 MB

07 Transforming the data to prepare it for modeling/002 Log transforming data to take care of skewed distributions.mp4

61.03 MB

08 Modeling the data/001 Applying a multiple regression to answer the ultimate question.mp4

35.55 MB

09 Conclusion/001 Download the data and iPython notebook that was used throughout this lecture.html

1.47 KB

09 Conclusion/001 Thank you.mp4

3.15 MB

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