few tasks on machine learning using python and jupyter notebook, [Scipy(pareto) and Suppot vector Regression)]

1) I attached a ipynb file with some scratch work and a csv data set.

2) You have to obtain the extreme values using pareto fit (values above 95 th percentile).

3) Now you have 2 data frames (Values below 95 th percentile and above 95 th percentile)

4) You have to fit a SVR model for the both data sets. compute the R squared and RMSE values. The features and values need to be used for the model are also described in that ipynb file.

5) I am attaching a python source file just for reference, If useful.

Evner: Python, Machine Learning (ML), SciPy, Statistisk analyse

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Om arbejdsgiveren:
( 0 bedømmelser ) Vijayawada, India

Projekt ID: #20730491

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I have good skill in ML and python. I have developed many ML model using popular python libraries like numpy, scipy, keras, tensorflow, scikit-learn and many more. for more discussion, you can message me.

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Professional Machine learning/Data exploration/SVM/Regression analysis/Python/Math/Statistics Expert Dear employer I read your project very carefully. It is very attracting my mind now because I have have many experien Flere

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