Data Analytics case study in Python notebook.
$30-250 AUD
Betalades vid leverans
Machine Learning and data science in medical diagnostic.
Need a Case study done on a Malaria Cell Images Dataset.
Dataset: [login to view URL]
Python code : [login to view URL]
Case Study must include the following:
1. Specific problem scenario and framing with initial hypotheses (e.g. churn prediction to prevent the loss of customers). Make sure the problem is related to Machine Learning and data science in medical diagnostic.
2. Data selection, collection and description; initial data processing (into clean training and testing datasets or dataframes), data analysis and feature engineering.
3. Model and parameter selection via testing various model sketches and configurations to gain insights of trade-offs, scenarios and sensitivity analyses.
4. Discuss model limitation, lessons learnt, suggestions, analytics value and quantifiable value added to the client.
5. A brief user manual/running and testing instruction for the code and data.
Projekt-id: #19785239
About the project
Tilldelades:
I am [login to view URL] from IIT Delhi. I have done specialisations in machine learning and deep learning. I have worked on Predictive Analytics,data mining, Object Detection and Object Recognition problems. Some of the sample Mer
24 frilansare har lagt bud på i genomsnitt $200 för det här jobbet
Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Python Notebook Programming. I'm really confident about your project, and very eager to join your project. If we ha Mer
Hello, I am an independent, experienced machine learning/data science expert. I can help with this task with a quick turn-around. Looking to hearing from you. Kind regards Rina B.
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Hello I am Python and machine learning expert and interested in the project. I have reviewed mentioned links and would like to help you out with this case study. Please communicate to discuss further. Regards Anshu
I will doing this case study for you. I am Mphill in computer science having seven years of experience as a data analyst with strong grip on machine learning, artificial intelligence and data mining and R programming.
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