Experimental Design for Data Analysis - TorrentBank

File Name:Experimental Design for Data Analysis

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Create Time:1970-01-01 08:00:00

File Size:349.72 MB

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01. Course Overview/01. Course Overview.mp4 3.70 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 8.60 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 25.10 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 8.50 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 13.50 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 12.00 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 70.30 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 7.80 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 63.10 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 8.70 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 45.20 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 36.70 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 12.60 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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