Work On Machine Learning For Classification Analysis

About:

I will identify the best performing Machine Learning classification algorithm for your data. 



The following Machine Learning algorithms will be explored:

• Logistic Regression
• Decision Trees
• Extreme Gradient Boosting
• Random Forest
• Feed Forward Neural Networks 1 to 3 hidden layers (extra)

I will take care of the following modeling requirements:

• Missing information
• Mean Encoding for categorical variables
• Data Imbalance
• Cross Validation 
• Controlling for Hyperparameters through grid search analysis
• Performance Measures

This is what you can expect:

• A PDF output with a description of your data and the most important modeling steps
• Identification of the best Machine Learning algorithm
• Final trained models in ".rds" format that can be read in R through the readRDS function

I have more than 2 years of practical Machine Learning experience at academic and industry level.



The classification analysis will be performed with R and RStudio.



My personal recommendation for the go to site for a high level Machine Learning Classification Overview:

https://www.classificationanalysis.com/



Check out my other special product offering:

https://teespring.com/de/love-the-data-scientist?pid=389

Reviews

Seller's Response:

Pat gives speedy delivery and has good knowledge of machine learning.

Seller's Response:

patvfb was very reliable. Delivered well on time and the results are what I am expecting. Thank you ~

:

Very responsive, helped guide me through analysis, and was very thorough in his work.

:

great working with this dude, good communication and on time. customized the results for me. will definitely work with him in the future.

:

I am happy that you were satisfied and for the successful collaboration.

About:

I will identify the best performing Machine Learning classification algorithm for your data. 



The following Machine Learning algorithms will be explored:

• Logistic Regression
• Decision Trees
• Extreme Gradient Boosting
• Random Forest
• Feed Forward Neural Networks 1 to 3 hidden layers (extra)

I will take care of the following modeling requirements:

• Missing information
• Mean Encoding for categorical variables
• Data Imbalance
• Cross Validation 
• Controlling for Hyperparameters through grid search analysis
• Performance Measures

This is what you can expect:

• A PDF output with a description of your data and the most important modeling steps
• Identification of the best Machine Learning algorithm
• Final trained models in ".rds" format that can be read in R through the readRDS function

I have more than 2 years of practical Machine Learning experience at academic and industry level.



The classification analysis will be performed with R and RStudio.



My personal recommendation for the go to site for a high level Machine Learning Classification Overview:

https://www.classificationanalysis.com/



Check out my other special product offering:

https://teespring.com/de/love-the-data-scientist?pid=389

Reviews

Seller's Response:

Pat gives speedy delivery and has good knowledge of machine learning.

Seller's Response:

patvfb was very reliable. Delivered well on time and the results are what I am expecting. Thank you ~

:

Very responsive, helped guide me through analysis, and was very thorough in his work.

:

great working with this dude, good communication and on time. customized the results for me. will definitely work with him in the future.

:

I am happy that you were satisfied and for the successful collaboration.