Development active learning regression algorithm in Matlab

I can perform the analysis using any kind of Statistical Software like R, SPSS , MINITAB Eviews Statistica etc I Will perform analysis like , Regression ,Time series ,Panel Data Experimental Designs Factor analysis , principle component analysis Bayesian analysis and other types of Data analysis Also i will provide Output and well explained interpretations with a comprehensive report

Hola. Cómo estás? Me gustaría ayudarte con este proyecto. Soy ingeniero, con más de 6 años de experience en Matlab. He desarrollado comparaciones similares a las que mencionas, por que estoy seguro que puedo hacer tu proyecto sin ningún problema. Gracias, Daniel

I recently finished my last course of undergraduate electrical engineering at Carleton U. I have 4+ years of experience in using MATLAB for various types of mathematical algorithms, engineering problems, etc. I briefly read through the attached pdf and understand the goals of this project. Given enough time, I am confident that I can complete it on time.

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Based on your request 1) I would implement some strategies of active learning for regression problems. 2) This shall be done using MATLAB. 3) I would solve this using Gaussian Process regression. 4)I would generate minimum of three comparative results as stated in the links provided. 5) I would priotise the strategy of Entropy and VoP (Variance of Prediction) For further discussion you can message me Thanks

I have experience in all Python library for Data and Machine Learning such as Numpy, Scipy, Pandas, Skilearn.