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种子哈希：b2f4fe5b78ed0b8aba9d385fd219f2c5830a7b7a
文档大小：452.1 MB
文档个数：78个文档
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收录时间：2018-07-31
最近下载：2025-05-14
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文档列表

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

==查看完整文档列表==

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