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Machine Learning _NEC_All_15_Weeks_Solved

New England College - Machine Learning - All Weeks Solved with comments. Use the documents for reference/learning purpose only. Don't share the document, instead share the link to this advertisement. Do not copy paste. You can report any errors found and they will be fixed accordingly.

17 éléments

Intro_to_ML_Week1_NEC

(0)
€9,67

You are expected to be able to program in R prior to taking this class. Use the titanic dataset from CRAN and perform EDA on various columns. Without using any modeling algorithms, and only using basic methods such as frequency distribution, describe the most important predictors of survival of Tita...

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Fundamentals_of_ML_Week2_NEC

(0)
€9,67

1x vendu

Write a fully executed R-Markdown program and submit a pdf / word or html file. The program should merge / join the data files given to you as part of the Santander Bank Case Study. You are then required to perform Exploratory Data Analysis (EDA) along with describing the features of the response va...

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Classification_with_Logistic_Regression_Week3_NEC

(0)
€10,14

2x vendu

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 d...

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Fundamentals_of_Linear_Predictive_Modeling

(0)
€10,14

4x vendu

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 clear...

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Perform_SVM_on_the_ranking_task_Week4_NEC

(0)
€10,14

2x vendu

Perform SVM on the ranking task from previous week.

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Fundamentals_of_ensemble_modeling_Week5_NEC

(2)
€10,14

4x vendu

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 ...

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Santander_Bank_Case_Study_ML_Week6_NEC

(2)
€10,14

2x vendu

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 XGBoos...

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Fundamentals_of_general_additive_models_ML_Week7_NEC

(1)
€10,14

3x vendu

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 clearl...

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Nutrition_Case_Study_ML_Week8_NEC

(1)
€10,14

2x vendu

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 hyperpar...

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Nutrition_Case_Study_ML_Week9_NEC

(1)
€10,14

2x vendu

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 hyperp...

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Nutrition_Case_Study_ML_Week10_NEC

(1)
€10,14

2x vendu

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-squar...

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MNIST_Fashion_MNIST_image_data_ML_Wk11_NEC_Solved

(1)
€9,67

1x vendu

The main objective is to write a fully executed R-Markdown program performing dimension reduction on a high dimensional image data using 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 th...

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MNIST _Fashion_MNIST_image_data_ML_Wk12_NEC_Solved

(1)
€10,14

2x vendu

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 ...

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MNIST_Fashion_MNIST_image_data_ML_Week13_NEC

(1)
€10,14

3x vendu

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 comp...

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Human_Activity_Recognition_Case_Analysis_ML_Week14_NEC

(0)
€10,14

2x vendu

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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Human_Activity _Recognition_Case_Study_ML_Week15_NEC

(0)
€9,67

1x vendu

The objective is to write a formal analysis report finishing the objectives set forth in the final case analysis document. A sample template for the final report is provided that contains minimum requirements for the report including the following sections: Introduction, Analysis and Results, Method...

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Machine_Learning_Week6_NEC_Solved

(0)
€9,67

Santander Bank Case Study 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, SV...

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