Predicting 3 outcomes with 70 predictors using BORUTA-Random Forest

Hello, Greetings of the day.!! I have a experience in Random Forest algorithm also in Feature selection. I am Ajay, having 3+ year of experience in Data Science using tools like Python, R, Spark. Worked on multiple projects in various domains like life sciences, CPG, Insurance. I have completed Master of Technology in Machine Learning. Also, I have an experience in a project management and delivery. I can deliver a task within a given time. I have just started working on freelancer.com, That's why my points ares not good on this platform, but you can view my detailed profile on Linkedin Work Areas - Image Processing, Text Mining, Supervised and Unsupervised Machine learning problem, Voice Analytics. Linkedin Link- [login to view URL] GitHub Link - [login to view URL] Thanks, Ajay Jadhav. 9850264948

Experienced data scientist who has extensively worked on machine learning projects ranging from recommending engines to computer vision applications in R & Python. Would like to see sample dataset ,if possible Looking forward to hearing back from you !

Hi, I have experience working with R and Random Forests including various cross validation techniques to get the best accuracy. An initial analysis will be carried out to understand the different predictors with respect to each other and the targets. The 3 targets will be encoded into a single target in order to treat the problem as a univariate ML problem. A grid search will be used to find the optimal RF parameters and if this is found to be inefficient we could try using other algorithms to speed up covering the parameter input space. Regards, Chris

As an: 1- engineer in statistics and applied economic 2- specialized technician in Microsoft Office (graduated from Microsoft: Diploma MOS), I am available, able and ready to do this type of work in the best conditions.

Mphill in statistics and expert in such tasks.

Hi, I am a Machine Learning Specialist. I have worked on various machine learning models in R and have hands on experience in Boruta. I have indepth knowledge of Random Forest and feature selection so dealing with 70 features will be easy for us. I always perform cross-validation and other required techniques on dataset. I think that for this problem we can even perform dimensionality reduction. Let us know further details regarding work. We will be glad to help you. We are preety fast with our work. With Regards, Shubham Sharam

I am an expert in data analysis, I've done a lot of projects in the fields involving data preprocessing and data visualization and building classifers and regression models, contact me for further discussion.

Data Outlier | Creator of multiple R libraries | TEDx Speaker | Brainstormer Having built multiple R libraries to easy data processing and easy analysis, I am sure to be able to solve the challenge. I have used shitty government data, massive (TBs) satellite data and unstructured internal company data to come up with awesome insights and models. A few of the projects which I have worked on and I see a similarity here (and this excites me): 1. Malaria Prediction in India: Using open data, satellite data to predict the number of cases of malaria at each hospital. Using various statistical models. Yes, even tested random forest, but a combination of various models gave the best output 2. Predicting flight prices: Again used different models to come up with an optimal day to buy flight prices 3. Land Classification in Africa: Used satellite data and a training data to classify entire Africa in grids of 1km into build-up, green, barren, or water and saw the change over the years With confidence, I can say that the requirements mentioned can be solved, getting the most optimal output for the performance statistics and the predicted target values in the specified time. One thing clients love about me, is the ideas I give and go out of the way to get more than what is required, if required to solve the problem. Let's do this!