All 18 resultados
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Resúmenes más vendidos de Machine Learning with R, the tidyverse, and mlr
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Fundamentals_of_Linear_Predictive_Modeling
- Examen • 7 páginas • 2023 Popular
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Disponible en paquete
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- 10,42 €
- 4x vendido
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Write a fully executed R-Markdown program and submit a pdf / word or html file performing classification task on the Binary response variable from the Santander Bank Case Study. Make sure to try various hyperparameters of the SVM algorithm to find the best available model. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
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Fundamentals_of_ensemble_modeling_Week5_NEC
- Examen • 13 páginas • 2023 Popular
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Disponible en paquete
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- 10,42 €
- 4x vendido
- + aprende más y mejor
Write a fully executed R-Markdown program and submit a pdf / word or html file performing classification task using Random Forest and XGBoost algorithms on the Binary response variable from the Santander Bank Case Study. Make sure to try various hyperparameter settings of the two algorithms to find the best available models. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
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MNIST_Fashion_MNIST_image_data_ML_Week13_NEC
- Examen • 89 páginas • 2023 Popular
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Disponible en paquete
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- 10,42 €
- 3x vendido
- + aprende más y mejor
The main objective is to write a fully executed R-Markdown program performing clustering using DBSCAN and Mixture model on the MNIST / Fashion MNIST (apparel) images that are 28 x 28 pixels resolution. 
Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
¿También escribes resúmenes? Entonces ponlo a la venta y gana cada vez que se compre tu documento.
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Perform_SVM_on_the_ranking_task_Week4_NEC
- Examen • 6 páginas • 2023 Popular
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Disponible en paquete
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- 10,42 €
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Perform SVM on the ranking task from previous week.
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Fundamentals_of_general_additive_models_ML_Week7_NEC
- Examen • 14 páginas • 2023 Popular
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Disponible en paquete
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- 10,42 €
- 2x vendido
- + aprende más y mejor
Write a fully executed R-Markdown program and submit a pdf / word or html file performing regression task using GAM algorithms on the primary response variable in the Nutrition Case Study. Make sure to try various hyperparameter settings to find the best available models. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
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Classification_with_Logistic_Regression_Week3_NEC
- Examen • 30 páginas • 2023 Popular
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Disponible en paquete
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- 10,42 €
- 2x vendido
- + aprende más y mejor
Write a fully executed R-Markdown program and submit a pdf / word or html file performing classification task on the Binary response variable from the Santander Bank Case Study. Make sure to try several permutations of the model before finding the best available model. 
You are required to clearly display and explain the models that were run for this task.
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Nutrition_Case_Study_ML_Week8_NEC
- Examen • 19 páginas • 2023 Popular
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Disponible en paquete
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- 10,42 €
- 2x vendido
- + aprende más y mejor
The main objective is to write a fully executed R-Markdown program performing regression prediction for the response variable using the best models found for LASSO, Ridge and Elastic Net techniques predicting the response variable in the Nutrition case study. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of t...
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Nutrition_Case_Study_ML_Week9_NEC
- Examen • 13 páginas • 2023 Popular
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Disponible en paquete
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- 10,42 €
- 2x vendido
- + aprende más y mejor
The main objective is to write a fully executed R-Markdown program performing regression prediction for the response variable using the best models found for kNN, Random Forest and XGBoost techniques predicting the response variable in the Nutrition case study. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of...
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MNIST _Fashion_MNIST_image_data_ML_Wk12_NEC_Solved
- Examen • 38 páginas • 2023 Popular
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Disponible en paquete
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- 10,42 €
- 2x vendido
- + aprende más y mejor
The main objective for this week is to write a fully executed R-Markdown program performing clustering using SOM and LLE on the image data containing MNIST (digits) and Fashion MNIST (apparel) images that are 28 x 28 pixels resolution. 
Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes.
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Nutrition_Case_Study_ML_Week10_NEC
- Examen • 4 páginas • 2023 Popular
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Disponible en paquete
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- 10,42 €
- 2x vendido
- + aprende más y mejor
Write a formal report on your findings from the last several weeks for the regression problem of the Nutrition Case Study. 
The main objective is to write a fully executed R-Markdown program performing regression prediction using the best models found for and comparing the cost functions and R-square values. 
Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. 
Perform EDA on MNIST and Fashion MNIST data and share your findings in the...
Resúmenes más recientes de Machine Learning with R, the tidyverse, and mlr
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MNIST_Fashion_MNIST_image_data_ML_Week13_NEC
- Examen • 89 páginas • 2023 Nuevo
-
Disponible en paquete
-
- 10,42 €
- 3x vendido
- + aprende más y mejor
The main objective is to write a fully executed R-Markdown program performing clustering using DBSCAN and Mixture model on the MNIST / Fashion MNIST (apparel) images that are 28 x 28 pixels resolution. 
Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
-
Fundamentals_of_ensemble_modeling_Week5_NEC
- Examen • 13 páginas • 2023 Nuevo
-
Disponible en paquete
-
- 10,42 €
- 4x vendido
- + aprende más y mejor
Write a fully executed R-Markdown program and submit a pdf / word or html file performing classification task using Random Forest and XGBoost algorithms on the Binary response variable from the Santander Bank Case Study. Make sure to try various hyperparameter settings of the two algorithms to find the best available models. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
-
MNIST _Fashion_MNIST_image_data_ML_Wk12_NEC_Solved
- Examen • 38 páginas • 2023 Nuevo
-
Disponible en paquete
-
- 10,42 €
- 2x vendido
- + aprende más y mejor
The main objective for this week is to write a fully executed R-Markdown program performing clustering using SOM and LLE on the image data containing MNIST (digits) and Fashion MNIST (apparel) images that are 28 x 28 pixels resolution. 
Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes.
¿También escribes resúmenes? Entonces ponlo a la venta y gana cada vez que se compre tu documento.
-
Nutrition_Case_Study_ML_Week8_NEC
- Examen • 19 páginas • 2023 Nuevo
-
Disponible en paquete
-
- 10,42 €
- 2x vendido
- + aprende más y mejor
The main objective is to write a fully executed R-Markdown program performing regression prediction for the response variable using the best models found for LASSO, Ridge and Elastic Net techniques predicting the response variable in the Nutrition case study. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of t...
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Nutrition_Case_Study_ML_Week9_NEC
- Examen • 13 páginas • 2023 Nuevo
-
Disponible en paquete
-
- 10,42 €
- 2x vendido
- + aprende más y mejor
The main objective is to write a fully executed R-Markdown program performing regression prediction for the response variable using the best models found for kNN, Random Forest and XGBoost techniques predicting the response variable in the Nutrition case study. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of...
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Fundamentals_of_general_additive_models_ML_Week7_NEC
- Examen • 14 páginas • 2023 Nuevo
-
Disponible en paquete
-
- 10,42 €
- 2x vendido
- + aprende más y mejor
Write a fully executed R-Markdown program and submit a pdf / word or html file performing regression task using GAM algorithms on the primary response variable in the Nutrition Case Study. Make sure to try various hyperparameter settings to find the best available models. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
-
Classification_with_Logistic_Regression_Week3_NEC
- Examen • 30 páginas • 2023 Nuevo
-
Disponible en paquete
-
- 10,42 €
- 2x vendido
- + aprende más y mejor
Write a fully executed R-Markdown program and submit a pdf / word or html file performing classification task on the Binary response variable from the Santander Bank Case Study. Make sure to try several permutations of the model before finding the best available model. 
You are required to clearly display and explain the models that were run for this task.
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Fundamentals_of_Linear_Predictive_Modeling
- Examen • 7 páginas • 2023 Nuevo
-
Disponible en paquete
-
- 10,42 €
- 4x vendido
- + aprende más y mejor
Write a fully executed R-Markdown program and submit a pdf / word or html file performing classification task on the Binary response variable from the Santander Bank Case Study. Make sure to try various hyperparameters of the SVM algorithm to find the best available model. 
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
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Human_Activity_Recognition_Case_Analysis_ML_Week14_NEC
- Examen • 67 páginas • 2023 Nuevo
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Disponible en paquete
-
- 10,42 €
- 2x vendido
- + aprende más y mejor
The main objective is to write a fully executed R-Markdown program performing EDA on the given data on the human activity recognition experiment collected through smart watches.
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Santander_Bank_Case_Study_ML_Week6_NEC
- Examen • 16 páginas • 2023 Nuevo
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Disponible en paquete
-
- 10,42 €
- 2x vendido
- + aprende más y mejor
Write a formal report on your findings from the last several weeks for the classification of the Santander Bank Case Study. 
The main objective is to write a fully executed R-Markdown program performing classification using the best models found for logistic regression, SVM, Random Forest and XGBoost algorithms, and comparing the values of their cost functions and accuracy scores. 
Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. 
...