ML Analysis and Classification for Workplace-Cancer Link
Budget: $10 – $30 USD
I am in need of an expert in machine learning who can analyze Google Form survey data and provide comparisons among different classification methods. The task involves the following:
- Application of three different machine learning methods: Support Vector Machines (SVM), Random Forests, and Linear Regression. Experience with these methods is necessary.
- Deployment of multiple metrics for comparison purposes, including Accuracy, Precision, Mean absolute error (MAE), and Mean squared error (MSE). The presentation of these metrics in tabular form is required for efficient comparison.
- The Google Form data to be processed includes information about the work environment along with 25 different factors, each accompanied by 5 sub-questions.
The ultimate aim is to identify the most effective machine learning method for classifying the working environment in terms of its impact on cancer. Candidates with a thorough understanding of classification methods and experience in machine learning will be preferred. A strong background in data analysis is also a must.
*Preferably use Python software.
* I have the csv data file from google forms.
- Application of three different machine learning methods: Support Vector Machines (SVM), Random Forests, and Linear Regression. Experience with these methods is necessary.
- Deployment of multiple metrics for comparison purposes, including Accuracy, Precision, Mean absolute error (MAE), and Mean squared error (MSE). The presentation of these metrics in tabular form is required for efficient comparison.
- The Google Form data to be processed includes information about the work environment along with 25 different factors, each accompanied by 5 sub-questions.
The ultimate aim is to identify the most effective machine learning method for classifying the working environment in terms of its impact on cancer. Candidates with a thorough understanding of classification methods and experience in machine learning will be preferred. A strong background in data analysis is also a must.
*Preferably use Python software.
* I have the csv data file from google forms.