We have a multidimensional data set (25x50) in which we need to find the best subset to fit a regression. By using PCA you can extract the top N feature which will fit a regression but the final model will have M inputs with the higher R square and min p values. The output will show all the regressions combination along R, P-values, coeff Data
Hi there, I have a Matlab project due next monday, I need to hire someon...Matlab project due next monday, I need to hire someone to get this done. Please let me know ASAP if you are interested. It involves Probability (Probability Mass Function / Poisson / Geometric Distributions). This requires a few simple plots, arrays, and modifications. Thanks,
...illustrations of the feature relationships (SOM, PCA); 6 - Try different classifiers, and optimize their parameters (K nearest neighbors, Regularized linear model with ridge regression, Multi-layer perceptron with 1 hidden layer and early stop committee (Output function Softmax)); 7 - Estimate the classifier accuracy; 8 - Prepare a report with the results;
...Technical efficiency needs to calculated basis Battese and Coelli (1992,1995) and further determinants of the technical efficiency also need to be evaluated basis a second stage regression. 3. The elasticity of substitution need to be calculated for multi-input case (basis Blackorby and Russell 1989, i.e. Allen elasticity of substitution (AES), Morishima elasticity
i want to hire a statistician data analysis for a research about prevalence and...prevalence and academic writing for statistical part - descriptive statistic of study population - analytic statistic of dependent variables VS independent variables - logistic regression analysis ( tables , formula) - correlation analysis - figures of all of the above
We need someone to who can code in python linear regression and determine coefficients and run t tests. All coding must be done without using libraries like statsmodel or pandas.
...the parameters is not important here. The first problem I have encountered is with logistic regression. And I request your mentorship first for this analysis. Here is a brief explanation of my needs; I have data that I want to perform logistic regression. Normally I use SPSS (so SPSS based help is better for me). There is a binary outcome, say an
...please try out your best answers to the following quiz for us to make sure you are a truly independent thinker. 1. Briefly describe how typically such a model (e.g., logistic regression, random forest etc.) works in helping to select your set of customers? 2. Have you worked on a similar model and what was it about? 3. Is there any comment you would like