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Experimental Design for Data Analysis
大小 349.72 MB
文件数 81
Info Hash: 9E737177F3EB98CB7C679C0AE14768F3406C7DCC
收录时间 2026-01-18 03:43:44
更新时间 2026-01-18 03:43:44
文件列表 (81)
01. Course Overview/01. Course Overview.mp4
3.7 MB
01. Course Overview/01. Course Overview.srt
13.24 KB
02. Designing an Experiment for Data Analysis/01. Module Overview.mp4
2.04 MB
02. Designing an Experiment for Data Analysis/01. Module Overview.srt
8.6 KB
02. Designing an Experiment for Data Analysis/02. Prerequisites and Course Outline.mp4
1.75 MB
02. Designing an Experiment for Data Analysis/02. Prerequisites and Course Outline.srt
10.16 KB
02. Designing an Experiment for Data Analysis/03. Connecting the Dots with Data.mp4
4.35 MB
02. Designing an Experiment for Data Analysis/03. Connecting the Dots with Data.srt
22.73 KB
02. Designing an Experiment for Data Analysis/04. Hypothesis Testing.mp4
11.93 MB
02. Designing an Experiment for Data Analysis/04. Hypothesis Testing.srt
57.71 KB
02. Designing an Experiment for Data Analysis/05. T-tests.mp4
5.19 MB
02. Designing an Experiment for Data Analysis/05. T-tests.srt
25.1 KB
02. Designing an Experiment for Data Analysis/06. ANOVA.mp4
7.64 MB
02. Designing an Experiment for Data Analysis/06. ANOVA.srt
35.36 KB
02. Designing an Experiment for Data Analysis/07. Designing a Machine Learning Experiment.mp4
8.5 MB
02. Designing an Experiment for Data Analysis/07. Designing a Machine Learning Experiment.srt
42.44 KB
02. Designing an Experiment for Data Analysis/08. Summary.mp4
2.58 MB
02. Designing an Experiment for Data Analysis/08. Summary.srt
12.01 KB
03. Building and Training a Machine Learning Model/01. Module Overview.mp4
2.35 MB
03. Building and Training a Machine Learning Model/01. Module Overview.srt
12.13 KB
03. Building and Training a Machine Learning Model/02. Getting Started with Azure ML Studio.mp4
13.5 MB
03. Building and Training a Machine Learning Model/02. Getting Started with Azure ML Studio.srt
43.17 KB
03. Building and Training a Machine Learning Model/03. Loading and Visualizing Data.mp4
12.53 MB
03. Building and Training a Machine Learning Model/03. Loading and Visualizing Data.srt
44.86 KB
03. Building and Training a Machine Learning Model/04. Exploring Relationships in Data.mp4
12 MB
03. Building and Training a Machine Learning Model/04. Exploring Relationships in Data.srt
38.72 KB
03. Building and Training a Machine Learning Model/05. Preprocessing and Preparing Data.mp4
16.08 MB
03. Building and Training a Machine Learning Model/05. Preprocessing and Preparing Data.srt
48.82 KB
03. Building and Training a Machine Learning Model/06. Building and Training a Regression Model for Price Prediction.mp4
19.86 MB
03. Building and Training a Machine Learning Model/06. Building and Training a Regression Model for Price Prediction.srt
66.59 KB
03. Building and Training a Machine Learning Model/07. Building and Training a Regression Model in Python.mp4
23.26 MB
03. Building and Training a Machine Learning Model/07. Building and Training a Regression Model in Python.srt
70.3 KB
03. Building and Training a Machine Learning Model/08. Summary.mp4
1.96 MB
03. Building and Training a Machine Learning Model/08. Summary.srt
10.46 KB
04. Understanding and Overcoming Common Problems in Data Modeling/01. Module Overview.mp4
1.72 MB
04. Understanding and Overcoming Common Problems in Data Modeling/01. Module Overview.srt
8.77 KB
04. Understanding and Overcoming Common Problems in Data Modeling/02. Overfitting and Techniques to Mitigate Overfitting.mp4
10.58 MB
04. Understanding and Overcoming Common Problems in Data Modeling/02. Overfitting and Techniques to Mitigate Overfitting.srt
52.76 KB
04. Understanding and Overcoming Common Problems in Data Modeling/03. Accuracy, Precision, and Recall.mp4
7.8 MB
04. Understanding and Overcoming Common Problems in Data Modeling/03. Accuracy, Precision, and Recall.srt
36.68 KB
04. Understanding and Overcoming Common Problems in Data Modeling/04. The ROC Curve.mp4
6.17 MB
04. Understanding and Overcoming Common Problems in Data Modeling/04. The ROC Curve.srt
30.44 KB
04. Understanding and Overcoming Common Problems in Data Modeling/05. Preparing and Processing Data.mp4
18.75 MB
04. Understanding and Overcoming Common Problems in Data Modeling/05. Preparing and Processing Data.srt
58.84 KB
04. Understanding and Overcoming Common Problems in Data Modeling/06. Building Training and Evaluating a Classification Model.mp4
20.13 MB
04. Understanding and Overcoming Common Problems in Data Modeling/06. Building Training and Evaluating a Classification Model.srt
63.1 KB
04. Understanding and Overcoming Common Problems in Data Modeling/07. Summary.mp4
2.09 MB
04. Understanding and Overcoming Common Problems in Data Modeling/07. Summary.srt
11.82 KB
05. Leveraging Different Validation Strategies in Data Modeling/01. Module Overview.mp4
1.99 MB
05. Leveraging Different Validation Strategies in Data Modeling/01. Module Overview.srt
8.7 KB
05. Leveraging Different Validation Strategies in Data Modeling/02. Cross-validation in the ML Workflow.mp4
3.48 MB
05. Leveraging Different Validation Strategies in Data Modeling/02. Cross-validation in the ML Workflow.srt
13.69 KB
05. Leveraging Different Validation Strategies in Data Modeling/03. Singular Cross-validation.mp4
5.15 MB
05. Leveraging Different Validation Strategies in Data Modeling/03. Singular Cross-validation.srt
26.18 KB
05. Leveraging Different Validation Strategies in Data Modeling/04. Cross-validation Using Azure ML Studio.mp4
15.52 MB
05. Leveraging Different Validation Strategies in Data Modeling/04. Cross-validation Using Azure ML Studio.srt
42.79 KB
05. Leveraging Different Validation Strategies in Data Modeling/05. K-fold Cross-validation and Variants.mp4
9.91 MB
05. Leveraging Different Validation Strategies in Data Modeling/05. K-fold Cross-validation and Variants.srt
45.2 KB
05. Leveraging Different Validation Strategies in Data Modeling/06. K-fold Cross-validation in scikit-learn.mp4
15.58 MB
05. Leveraging Different Validation Strategies in Data Modeling/06. K-fold Cross-validation in scikit-learn.srt
54.73 KB
05. Leveraging Different Validation Strategies in Data Modeling/07. Repeated K-fold Cross-validation in scikit-learn.mp4
9.43 MB
05. Leveraging Different Validation Strategies in Data Modeling/07. Repeated K-fold Cross-validation in scikit-learn.srt
31.28 KB
05. Leveraging Different Validation Strategies in Data Modeling/08. Stratified K-fold Cross-validation in scikit-learn.mp4
12.59 MB
05. Leveraging Different Validation Strategies in Data Modeling/08. Stratified K-fold Cross-validation in scikit-learn.srt
36.7 KB
05. Leveraging Different Validation Strategies in Data Modeling/09. Group K-fold in scikit-learn.mp4
8.77 MB
05. Leveraging Different Validation Strategies in Data Modeling/09. Group K-fold in scikit-learn.srt
30.52 KB
05. Leveraging Different Validation Strategies in Data Modeling/10. Summary.mp4
1.98 MB
05. Leveraging Different Validation Strategies in Data Modeling/10. Summary.srt
9.64 KB
06. Tuning Hyperparameters Using Cross Validation Scores/01. Module Overview.mp4
3.43 MB
06. Tuning Hyperparameters Using Cross Validation Scores/01. Module Overview.srt
16.42 KB
06. Tuning Hyperparameters Using Cross Validation Scores/02. Hyperparameter Tuning.mp4
3.19 MB
06. Tuning Hyperparameters Using Cross Validation Scores/02. Hyperparameter Tuning.srt
15.81 KB
06. Tuning Hyperparameters Using Cross Validation Scores/03. Decision Trees.mp4
4.56 MB
06. Tuning Hyperparameters Using Cross Validation Scores/03. Decision Trees.srt
24.53 KB
06. Tuning Hyperparameters Using Cross Validation Scores/04. Hyperparameter Tuning a Decision Forest Classifier.mp4
16.95 MB
06. Tuning Hyperparameters Using Cross Validation Scores/04. Hyperparameter Tuning a Decision Forest Classifier.srt
51.06 KB
06. Tuning Hyperparameters Using Cross Validation Scores/05. Tuning and Scoring Multiple Models.mp4
12.6 MB
06. Tuning Hyperparameters Using Cross Validation Scores/05. Tuning and Scoring Multiple Models.srt
39.99 KB
06. Tuning Hyperparameters Using Cross Validation Scores/06. Summary and Further Study.mp4
1.74 MB
06. Tuning Hyperparameters Using Cross Validation Scores/06. Summary and Further Study.srt
8.96 KB
experimental-design-data-analysis.zip
5.15 MB
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