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种子名称： [TutorialPace.com] Lynda - Python Statistics Essential Training - [TP]
文件类型： 视频
文件数目： 39个文件
文件大小： 430.99 MB
收录时间： 2019-5-18 12:25
已经下载： 3次
资源热度： 108
最近下载： 2024-11-29 07:10

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[TutorialPace.com] Lynda - Python Statistics Essential Training - [TP].torrent

4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.mp41.12MB

0.Introduction/02.What you need to know.mp41.23MB

3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.mp41.33MB

5.5. Introduction to Statistical Modeling/31.Statistical modeling.mp42.39MB

5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.mp42.8MB

4.4. Introduction to Statistical Inference/24.Statistical inference.mp42.88MB

6.Conclusion/39.Next steps.mp42.9MB

0.Introduction/03.Using the exercise files.mp43MB

2.2. Importing and Cleaning Data/08.The structure of data.mp43.05MB

2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.mp43.39MB

5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.mp44.02MB

4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.mp44.29MB

3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.mp44.63MB

1.1. Installation and Setup/06.Working with Jupyter Notebook.mp46.53MB

0.Introduction/01.Welcome.mp46.91MB

1.1. Installation and Setup/04.Install Anaconda Python on OS X.mp48.1MB

1.1. Installation and Setup/07.Using Python in the cloud.mp48.8MB

3.3. Visualizing and Describing Data/15.Describe distributions.mp49.07MB

2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.mp410MB

1.1. Installation and Setup/05.Install Anaconda Python on Windows.mp410.32MB

5.5. Introduction to Statistical Modeling/35.Logistic regression.mp411.09MB

2.2. Importing and Cleaning Data/09.Create tidy data tables.mp411.16MB

3.3. Visualizing and Describing Data/20.Plot categorical variables.mp411.94MB

3.3. Visualizing and Describing Data/19.Describe categorical variables.mp411.97MB

5.5. Introduction to Statistical Modeling/34.Cross validation.mp413.1MB

4.4. Introduction to Statistical Inference/28.p values and confidence intervals.mp413.35MB

5.5. Introduction to Statistical Modeling/33.Goodness of fit.mp413.99MB

5.5. Introduction to Statistical Modeling/32.Fitting models to data.mp416.49MB

3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.mp416.72MB

4.4. Introduction to Statistical Inference/26.Bootstrapping.mp417.06MB

4.4. Introduction to Statistical Inference/25.Confidence intervals.mp417.18MB

3.3. Visualizing and Describing Data/16.Plot distributions.mp418.79MB

2.2. Importing and Cleaning Data/10.Introducing pandas.mp418.89MB

5.5. Introduction to Statistical Modeling/36.Bayesian inference.mp419.04MB

4.4. Introduction to Statistical Inference/27.Hypothesis testing.mp419.52MB

3.3. Visualizing and Describing Data/14.The power of visualization.mp420.03MB

3.3. Visualizing and Describing Data/18.More quantitative variables.mp421.5MB

3.3. Visualizing and Describing Data/21.Personal email analytics.mp428.99MB

2.2. Importing and Cleaning Data/11.Data cleaning.mp433.44MB