Regression analysis by machine learning

I analyzed machine learning using "Boosted Decision Tree Regression" analysis of Microsoft Azure Machine Learning. In the analysis, hyper parameters are adjusted. Finally, in this analysis, the average value of the coefficient of determination is about 0.8 in k-division cross-validation, and I believe that the prediction has been made.

I want to do this analysis in Python, and I have created the same analysis code in Python, but I have only obtained results that are considerably less accurate than the analysis results of Microsoft Azure Machine Learning.

I would like a freelancer who can provide Python code that can provide the same accuracy as Microsoft Azure Machine Learning results.

This project has the following goals:

1. Regression analysis by machine learning using "Boosted Decision Tree Regression"

2. Python code analysis

3. Provide Python code used for analysis

4. Hyperparameter adjustment with Optuna

5. Listing the importance ranking of features

6. Verification of generalization performance by k-fold cross-validation

7. The number of divisions of training data and test data is 4: 1

8. K-fold cross-validation scores of 0.8 or higher

9. Interpretation of machine learning results (explain what kind of feature value should be taken and what combination is good for the objective variable to be small)

Kemahiran: Python, Machine Learning (ML), Analisis Statistik

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Tentang Majikan:
( 2 ulasan ) Nagoya, Japan

ID Projek: #21929360

Dianugerahkan kepada:


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$40 USD dalam 7 hari
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6 pekerja bebas membida secara purata $108 untuk pekerjaan ini


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$250 USD dalam 6 hari
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$100 USD dalam 7 hari
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$100 USD dalam 5 hari
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