Creating prediction model for given dataset using Python
₹1000-2500 INR
Paid on delivery
I have dataset which contains job application history of few workers.
Usecase : workers apply for job on my organizations. I approve the request looking at his skills. I want to create model which can help me to predict best possible location_id based on historical data. Looking at the historical data of job application and their assigned location ID, we need to create model which can automatically help to recomment location_ID so that we get best acceptance rare.
I have attached sample dataset.
Deliverables:
1. Apprach you have used
2. Trying on three different model using sklearn or any other python library
3. Do required pre-processing on data
4. Create model and print accuracy metrics like precision, recall, f1 score
5. Use cross validation to check accuracy
6. Brief explanation on parameters. How they are related using basic graphs
6. Breif documentation
When you bid for the project. Write me what approach will you use and how you are planning to crack this
Project ID: #19081393
About the project
Awarded to:
Hey! thats an cool idea and id love to work with you to help you develop a scalable and reliable machine learning model. I'm an computer science student and an machine learning enthusiast. Having worked on tons of s More
9 freelancers are bidding on average ₹6600 for this job
Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp More
Hi, I hope you are doing good. well regarding this project, I have good experience in Machine learning problems using Python. I understand the work which is very easy because I have been worked for the same tasks. More
do kindly share the requirements in a zip file. you can reach out to me over chat to discuss further
Hello, Everyone! Since I dont have sample data(not uploaded) so not sure right now what i will use but for such type of queries ensemble approach is the best by rempving the outliers clustering and random forrest tech More
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