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[TutorialPace.com] Lynda - Python Statistics Essential Training - [TP]
magnet:?xt=urn:btih:33db7f198b1a9c1ffb88658fa91f6f4b048505d1&dn=[TutorialPace.com] Lynda - Python Statistics Essential Training - [TP]
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文件列表详情
33db7f198b1a9c1ffb88658fa91f6f4b048505d1
infohash:
39
文件数量
430.99 MB
文件大小
2019-5-18 12:25
创建日期
2024-7-26 03:07
最后访问
相关分词
TutorialPace
com
Lynda
-
Python
Statistics
Essential
Training
-
TP
4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.mp4 1.12 MB
0.Introduction/02.What you need to know.mp4 1.23 MB
3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.mp4 1.33 MB
5.5. Introduction to Statistical Modeling/31.Statistical modeling.mp4 2.39 MB
5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.mp4 2.8 MB
4.4. Introduction to Statistical Inference/24.Statistical inference.mp4 2.88 MB
6.Conclusion/39.Next steps.mp4 2.9 MB
0.Introduction/03.Using the exercise files.mp4 3 MB
2.2. Importing and Cleaning Data/08.The structure of data.mp4 3.05 MB
2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.mp4 3.39 MB
5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.mp4 4.02 MB
4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.mp4 4.29 MB
3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.mp4 4.63 MB
1.1. Installation and Setup/06.Working with Jupyter Notebook.mp4 6.53 MB
0.Introduction/01.Welcome.mp4 6.91 MB
1.1. Installation and Setup/04.Install Anaconda Python on OS X.mp4 8.1 MB
1.1. Installation and Setup/07.Using Python in the cloud.mp4 8.8 MB
3.3. Visualizing and Describing Data/15.Describe distributions.mp4 9.07 MB
2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.mp4 10 MB
1.1. Installation and Setup/05.Install Anaconda Python on Windows.mp4 10.32 MB
5.5. Introduction to Statistical Modeling/35.Logistic regression.mp4 11.09 MB
2.2. Importing and Cleaning Data/09.Create tidy data tables.mp4 11.16 MB
3.3. Visualizing and Describing Data/20.Plot categorical variables.mp4 11.94 MB
3.3. Visualizing and Describing Data/19.Describe categorical variables.mp4 11.97 MB
5.5. Introduction to Statistical Modeling/34.Cross validation.mp4 13.1 MB
4.4. Introduction to Statistical Inference/28.p values and confidence intervals.mp4 13.35 MB
5.5. Introduction to Statistical Modeling/33.Goodness of fit.mp4 13.99 MB
5.5. Introduction to Statistical Modeling/32.Fitting models to data.mp4 16.49 MB
3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.mp4 16.72 MB
4.4. Introduction to Statistical Inference/26.Bootstrapping.mp4 17.06 MB
4.4. Introduction to Statistical Inference/25.Confidence intervals.mp4 17.18 MB
3.3. Visualizing and Describing Data/16.Plot distributions.mp4 18.79 MB
2.2. Importing and Cleaning Data/10.Introducing pandas.mp4 18.89 MB
5.5. Introduction to Statistical Modeling/36.Bayesian inference.mp4 19.04 MB
4.4. Introduction to Statistical Inference/27.Hypothesis testing.mp4 19.52 MB
3.3. Visualizing and Describing Data/14.The power of visualization.mp4 20.03 MB
3.3. Visualizing and Describing Data/18.More quantitative variables.mp4 21.5 MB
3.3. Visualizing and Describing Data/21.Personal email analytics.mp4 28.99 MB
2.2. Importing and Cleaning Data/11.Data cleaning.mp4 33.44 MB
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