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Experimental Design for Data Analysis
magnet:?xt=urn:btih:9e737177f3eb98cb7c679c0ae14768f3406c7dcc&dn=Experimental Design for Data Analysis
磁力链接详情
Hash值:
9e737177f3eb98cb7c679c0ae14768f3406c7dcc
点击数:
4
文件大小:
343.32 MB
文件数量:
40
创建日期:
2025-5-18 01:14
最后访问:
2025-5-18 17:01
访问标签:
Experimental
Design
for
Data
Analysis
文件列表详情
01. Course Overview/01. Course Overview.mp4 3.7 MB
02. Designing an Experiment for Data Analysis/01. Module Overview.mp4 2.04 MB
02. Designing an Experiment for Data Analysis/02. Prerequisites and Course Outline.mp4 1.75 MB
02. Designing an Experiment for Data Analysis/03. Connecting the Dots with Data.mp4 4.35 MB
02. Designing an Experiment for Data Analysis/04. Hypothesis Testing.mp4 11.93 MB
02. Designing an Experiment for Data Analysis/05. T-tests.mp4 5.19 MB
02. Designing an Experiment for Data Analysis/06. ANOVA.mp4 7.64 MB
02. Designing an Experiment for Data Analysis/07. Designing a Machine Learning Experiment.mp4 8.5 MB
02. Designing an Experiment for Data Analysis/08. Summary.mp4 2.58 MB
03. Building and Training a Machine Learning Model/01. Module Overview.mp4 2.35 MB
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/03. Loading and Visualizing Data.mp4 12.53 MB
03. Building and Training a Machine Learning Model/04. Exploring Relationships in Data.mp4 12 MB
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/06. Building and Training a Regression Model for Price Prediction.mp4 19.86 MB
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/08. Summary.mp4 1.96 MB
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/02. Overfitting and Techniques to Mitigate Overfitting.mp4 10.58 MB
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/04. The ROC Curve.mp4 6.17 MB
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/06. Building Training and Evaluating a Classification Model.mp4 20.13 MB
04. Understanding and Overcoming Common Problems in Data Modeling/07. Summary.mp4 2.09 MB
05. Leveraging Different Validation Strategies in Data Modeling/01. Module Overview.mp4 1.99 MB
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/03. Singular Cross-validation.mp4 5.15 MB
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/05. K-fold Cross-validation and Variants.mp4 9.91 MB
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/07. Repeated K-fold Cross-validation in scikit-learn.mp4 9.43 MB
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/09. Group K-fold in scikit-learn.mp4 8.77 MB
05. Leveraging Different Validation Strategies in Data Modeling/10. Summary.mp4 1.98 MB
06. Tuning Hyperparameters Using Cross Validation Scores/01. Module Overview.mp4 3.43 MB
06. Tuning Hyperparameters Using Cross Validation Scores/02. Hyperparameter Tuning.mp4 3.19 MB
06. Tuning Hyperparameters Using Cross Validation Scores/03. Decision Trees.mp4 4.56 MB
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/05. Tuning and Scoring Multiple Models.mp4 12.6 MB
06. Tuning Hyperparameters Using Cross Validation Scores/06. Summary and Further Study.mp4 1.74 MB
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