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03. Building and Training a Machine Learning Model/07. Building and Training a Regression Model in Python.mp4 24.4 MB04. Understanding and Overcoming Common Problems in Data Modeling/06. Building Training and Evaluating a Classification Model.mp4 21.1 MB03. Building and Training a Machine Learning Model/06. Building and Training a Regression Model for Price Prediction.mp4 20.8 MB04. Understanding and Overcoming Common Problems in Data Modeling/05. Preparing and Processing Data.mp4 19.7 MB06. Tuning Hyperparameters Using Cross Validation Scores/04. Hyperparameter Tuning a Decision Forest Classifier.mp4 17.8 MB03. Building and Training a Machine Learning Model/05. Preprocessing and Preparing Data.mp4 16.9 MB05. Leveraging Different Validation Strategies in Data Modeling/06. K-fold Cross-validation in scikit-learn.mp4 16.3 MB05. Leveraging Different Validation Strategies in Data Modeling/04. Cross-validation Using Azure ML Studio.mp4 16.3 MB03. Building and Training a Machine Learning Model/02. Getting Started with Azure ML Studio.mp4 14.2 MB06. Tuning Hyperparameters Using Cross Validation Scores/05. Tuning and Scoring Multiple Models.mp4 13.2 MB05. Leveraging Different Validation Strategies in Data Modeling/08. Stratified K-fold Cross-validation in scikit-learn.mp4 13.2 MB03. Building and Training a Machine Learning Model/03. Loading and Visualizing Data.mp4 13.1 MB03. Building and Training a Machine Learning Model/04. Exploring Relationships in Data.mp4 12.6 MB02. Designing an Experiment for Data Analysis/04. Hypothesis Testing.mp4 12.5 MB04. Understanding and Overcoming Common Problems in Data Modeling/02. Overfitting and Techniques to Mitigate Overfitting.mp4 11.1 MB05. Leveraging Different Validation Strategies in Data Modeling/05. K-fold Cross-validation and Variants.mp4 10.4 MB05. Leveraging Different Validation Strategies in Data Modeling/07. Repeated K-fold Cross-validation in scikit-learn.mp4 9.9 MB05. Leveraging Different Validation Strategies in Data Modeling/09. Group K-fold in scikit-learn.mp4 9.2 MB02. Designing an Experiment for Data Analysis/07. Designing a Machine Learning Experiment.mp4 8.9 MB04. Understanding and Overcoming Common Problems in Data Modeling/03. Accuracy, Precision, and Recall.mp4 8.2 MB [ FreeCourseWeb.com ] Strata Data Superstream Series -... 4.0 GB [FreeTutorials.Us]... 133.7 MB
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