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[FreeCoursesOnline.Me] PacktPub - Understanding Regression Techniques [Video]
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89个文件
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3 GB
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2020-9-22 21:27
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2024-11-18 22:03
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[FreeCoursesOnline.Me] PacktPub - Understanding Regression Techniques [Video].torrent
1.Simple Linear Regression/01.Introduction.mp433.82MB
1.Simple Linear Regression/02.Simple linear regression.mp449.67MB
1.Simple Linear Regression/03.The slope.mp461.8MB
1.Simple Linear Regression/04.R-squared.mp451.14MB
1.Simple Linear Regression/05.The p-value.mp449.25MB
1.Simple Linear Regression/06.Model fit.mp415.12MB
1.Simple Linear Regression/07.The residuals.mp456.81MB
10.Count Models - Count Tables/65.Count tables.mp428.62MB
10.Count Models - Count Tables/66.Risk.mp416.93MB
10.Count Models - Count Tables/67.Inceidence-rate ratio.mp420.81MB
10.Count Models - Count Tables/68.Two-by-three tables.mp436.09MB
11.Poisson Regression/69.Single independent variable.mp4159.42MB
11.Poisson Regression/70.Examples.mp434.46MB
11.Poisson Regression/71.Binary variables.mp486.02MB
11.Poisson Regression/72.Multiple independent variables.mp467.77MB
11.Poisson Regression/73.Categorical variables.mp479.37MB
11.Poisson Regression/74.Exposure.mp474.94MB
12.Other Count Models/75.Negative binomial regression.mp453.7MB
12.Other Count Models/76.Truncated models.mp430.39MB
12.Other Count Models/77.Zero-inflated models.mp485.27MB
12.Other Count Models/78.Comparison of models.mp428.09MB
13.Prediction/79.Predicting the number of events.mp412.43MB
13.Prediction/80.Predicting probabilities of certain counts.mp49.63MB
14.Count Model Case Study/81.The dataset.mp44.05MB
14.Count Model Case Study/82.Continuous variables.mp421.57MB
14.Count Model Case Study/83.Binary variables.mp43.07MB
14.Count Model Case Study/84.Multivariate analysis.mp43.45MB
14.Count Model Case Study/85.Negative binomial regression.mp45.44MB
14.Count Model Case Study/86.Zero-inflated models.mp422.9MB
14.Count Model Case Study/87.Comparing count models.mp410.56MB
14.Count Model Case Study/88.Visualizing the result.mp434.62MB
15.Conclusion/89.Conclusion.mp417.76MB
2.Multiple linear regression/08.Multiple linear regression.mp443.1MB
2.Multiple linear regression/09.The slopes.mp443.48MB
2.Multiple linear regression/10.R-squared.mp412.51MB
2.Multiple linear regression/11.The p-value.mp410.94MB
2.Multiple linear regression/12.Model fit and residuals.mp439.72MB
3.Linear Regression - Binary, Categorical, and Quadratic Variables/13.Binary variables.mp4111.79MB
3.Linear Regression - Binary, Categorical, and Quadratic Variables/14.Categorical variables.mp4185.14MB
3.Linear Regression - Binary, Categorical, and Quadratic Variables/15.Quadratic variables.mp485.24MB
4.Linear Regression - Checking Model Fit and Assumptions/16.Prediction.mp422.92MB
4.Linear Regression - Checking Model Fit and Assumptions/17.Normality of residuals.mp410.26MB
4.Linear Regression - Checking Model Fit and Assumptions/18.Independence of residuals.mp410.07MB
4.Linear Regression - Checking Model Fit and Assumptions/19.Constant variance.mp49.94MB
4.Linear Regression - Checking Model Fit and Assumptions/20.Multicollinearity.mp412.46MB
4.Linear Regression - Checking Model Fit and Assumptions/21.Outliers.mp414.88MB
4.Linear Regression - Checking Model Fit and Assumptions/22.Influential observations.mp434.87MB
4.Linear Regression - Checking Model Fit and Assumptions/23.Selection algorithms.mp449.56MB
5.Linear Regression Case Study/24.The dataset.mp49.99MB
5.Linear Regression Case Study/25.Including continuous variables.mp431.81MB
5.Linear Regression Case Study/26.Including binary variables.mp45.96MB
5.Linear Regression Case Study/27.Including categorical variables.mp45.76MB
5.Linear Regression Case Study/28.Multiple regression.mp413.1MB
5.Linear Regression Case Study/29.Checking model fit.mp49.12MB
5.Linear Regression Case Study/30.Checking model assumptions.mp419.27MB
5.Linear Regression Case Study/31.Multicollinearity.mp45.19MB
5.Linear Regression Case Study/32.Outliers.mp49.29MB
5.Linear Regression Case Study/33.Influential observations.mp415.93MB
5.Linear Regression Case Study/34.Visualizing the result.mp48.96MB
6.Logistic Regression - Contingency Tables/35.Two-by-two tables.mp430.29MB
6.Logistic Regression - Contingency Tables/36.The odds.mp427.36MB
6.Logistic Regression - Contingency Tables/37.The odds ratio.mp431.54MB
6.Logistic Regression - Contingency Tables/38.Two-by-three tables.mp473.52MB
7.Logistic Regression Models/39.Single independent variable.mp4152.02MB
7.Logistic Regression Models/40.Examples.mp439.9MB
7.Logistic Regression Models/41.Binary variables.mp471.67MB
7.Logistic Regression Models/42.Multiple independent variables.mp466.07MB
7.Logistic Regression Models/43.Categorical variables.mp492.15MB
7.Logistic Regression Models/44.Nonlinearity - Non-graphical test.mp436.78MB
7.Logistic Regression Models/45.Nonlinearity - Graphical test.mp463.65MB
8.Logistic Regression - Prediction and Model Fit/46.Prediction.mp419.23MB
8.Logistic Regression - Prediction and Model Fit/47.Goodness of fit - Likelihood ratio test.mp414.08MB
8.Logistic Regression - Prediction and Model Fit/48.Goodness of fit - Hosmer-Lemeshow test.mp423.06MB
8.Logistic Regression - Prediction and Model Fit/49.Goodness of fit - Classification tables.mp454.64MB
8.Logistic Regression - Prediction and Model Fit/50.Goodness of fit - ROC analysis.mp48.76MB
8.Logistic Regression - Prediction and Model Fit/51.Residuals.mp49.71MB
8.Logistic Regression - Prediction and Model Fit/52.Influential Observations.mp427.16MB
9.Logistic Regression Case Study/53.The dataset.mp411.36MB
9.Logistic Regression Case Study/54.Continuous variables.mp48.67MB
9.Logistic Regression Case Study/55.Test of linearity - Non-graphical.mp45.17MB
9.Logistic Regression Case Study/56.Test of linearity - Graphical.mp416.8MB
9.Logistic Regression Case Study/57.Binary variables.mp46.32MB
9.Logistic Regression Case Study/58.Categorical variables.mp426.03MB
9.Logistic Regression Case Study/59.Multivariate analysis.mp47.22MB
9.Logistic Regression Case Study/60.Goodness of fit.mp417.87MB
9.Logistic Regression Case Study/61.Residual analysis.mp48.16MB
9.Logistic Regression Case Study/62.Influential observations.mp46.77MB
9.Logistic Regression Case Study/63.Combining both residuals and influence in one graph.mp413.73MB
9.Logistic Regression Case Study/64.Visualizing the result.mp47.3MB