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Python Statistics Essential Training
磁力链接/BT种子名称
Python Statistics Essential Training
磁力链接/BT种子简介
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2020-01-30
最近下载:
2025-10-02
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文件列表
2.2. Importing and Cleaning Data/11.Data cleaning.mp4
35.1 MB
3.3. Visualizing and Describing Data/21.Personal email analytics.mp4
30.4 MB
3.3. Visualizing and Describing Data/18.More quantitative variables.mp4
22.5 MB
3.3. Visualizing and Describing Data/14.The power of visualization.mp4
21.0 MB
4.4. Introduction to Statistical Inference/27.Hypothesis testing.mp4
20.5 MB
5.5. Introduction to Statistical Modeling/36.Bayesian inference.mp4
20.0 MB
2.2. Importing and Cleaning Data/10.Introducing pandas.mp4
19.8 MB
3.3. Visualizing and Describing Data/16.Plot distributions.mp4
19.7 MB
4.4. Introduction to Statistical Inference/25.Confidence intervals.mp4
18.0 MB
4.4. Introduction to Statistical Inference/26.Bootstrapping.mp4
17.9 MB
3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.mp4
17.5 MB
5.5. Introduction to Statistical Modeling/32.Fitting models to data.mp4
17.3 MB
5.5. Introduction to Statistical Modeling/33.Goodness of fit.mp4
14.7 MB
4.4. Introduction to Statistical Inference/28.p values and confidence intervals.mp4
14.0 MB
5.5. Introduction to Statistical Modeling/34.Cross validation.mp4
13.7 MB
3.3. Visualizing and Describing Data/19.Describe categorical variables.mp4
12.6 MB
3.3. Visualizing and Describing Data/20.Plot categorical variables.mp4
12.5 MB
2.2. Importing and Cleaning Data/09.Create tidy data tables.mp4
11.7 MB
5.5. Introduction to Statistical Modeling/35.Logistic regression.mp4
11.6 MB
1.1. Installation and Setup/05.Install Anaconda Python on Windows.mp4
10.8 MB
2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.mp4
10.5 MB
3.3. Visualizing and Describing Data/15.Describe distributions.mp4
9.5 MB
1.1. Installation and Setup/07.Using Python in the cloud.mp4
9.2 MB
1.1. Installation and Setup/04.Install Anaconda Python on OS X.mp4
8.5 MB
0.Introduction/01.Welcome.mp4
7.2 MB
1.1. Installation and Setup/06.Working with Jupyter Notebook.mp4
6.8 MB
3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.mp4
4.9 MB
4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.mp4
4.5 MB
5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.mp4
4.2 MB
2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.mp4
3.6 MB
2.2. Importing and Cleaning Data/08.The structure of data.mp4
3.2 MB
0.Introduction/03.Using the exercise files.mp4
3.1 MB
6.Conclusion/39.Next steps.mp4
3.0 MB
4.4. Introduction to Statistical Inference/24.Statistical inference.mp4
3.0 MB
5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.mp4
2.9 MB
5.5. Introduction to Statistical Modeling/31.Statistical modeling.mp4
2.5 MB
3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.mp4
1.4 MB
0.Introduction/02.What you need to know.mp4
1.3 MB
4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.mp4
1.2 MB
2.2. Importing and Cleaning Data/11.Data cleaning.en.srt
13.5 kB
4.4. Introduction to Statistical Inference/25.Confidence intervals.en.srt
12.0 kB
5.5. Introduction to Statistical Modeling/36.Bayesian inference.en.srt
11.4 kB
3.3. Visualizing and Describing Data/21.Personal email analytics.en.srt
10.8 kB
5.5. Introduction to Statistical Modeling/32.Fitting models to data.en.srt
10.0 kB
4.4. Introduction to Statistical Inference/27.Hypothesis testing.en.srt
9.3 kB
3.3. Visualizing and Describing Data/14.The power of visualization.en.srt
8.6 kB
2.2. Importing and Cleaning Data/10.Introducing pandas.en.srt
8.5 kB
3.3. Visualizing and Describing Data/16.Plot distributions.en.srt
8.3 kB
5.5. Introduction to Statistical Modeling/33.Goodness of fit.en.srt
8.2 kB
4.4. Introduction to Statistical Inference/26.Bootstrapping.en.srt
7.8 kB
5.5. Introduction to Statistical Modeling/35.Logistic regression.en.srt
7.5 kB
3.3. Visualizing and Describing Data/18.More quantitative variables.en.srt
7.4 kB
5.5. Introduction to Statistical Modeling/34.Cross validation.en.srt
7.3 kB
2.2. Importing and Cleaning Data/09.Create tidy data tables.en.srt
7.2 kB
3.3. Visualizing and Describing Data/15.Describe distributions.en.srt
7.1 kB
3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.en.srt
6.0 kB
4.4. Introduction to Statistical Inference/28.p values and confidence intervals.en.srt
5.9 kB
3.3. Visualizing and Describing Data/19.Describe categorical variables.en.srt
5.8 kB
1.1. Installation and Setup/04.Install Anaconda Python on OS X.en.srt
5.1 kB
3.3. Visualizing and Describing Data/20.Plot categorical variables.en.srt
4.4 kB
1.1. Installation and Setup/05.Install Anaconda Python on Windows.en.srt
4.3 kB
2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.en.srt
3.8 kB
1.1. Installation and Setup/06.Working with Jupyter Notebook.en.srt
3.6 kB
1.1. Installation and Setup/07.Using Python in the cloud.en.srt
3.4 kB
6.Conclusion/39.Next steps.en.srt
3.3 kB
2.2. Importing and Cleaning Data/08.The structure of data.en.srt
2.8 kB
5.5. Introduction to Statistical Modeling/31.Statistical modeling.en.srt
2.6 kB
4.4. Introduction to Statistical Inference/24.Statistical inference.en.srt
2.4 kB
0.Introduction/01.Welcome.en.srt
1.9 kB
3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.en.srt
1.7 kB
2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.en.srt
1.6 kB
4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.en.srt
1.6 kB
0.Introduction/02.What you need to know.en.srt
1.5 kB
0.Introduction/03.Using the exercise files.en.srt
1.4 kB
5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.en.srt
1.4 kB
5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.en.srt
1.2 kB
3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.en.srt
526 Bytes
4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.en.srt
476 Bytes
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