Machine learning
$10-30 USD
Paid on delivery
Study the dataset for classification at the URL:
https://archive.ics.uci.edu/ml/datasets/Post-Operative+Patient
and download it.
2. Prepare the data by dropping the possible missing values.
3. Visualize the data by using the most suited visualization technique.
4. Analyze the data by indicating the most relevant information when solving classification tasks.
5. Apply a logictic regression, a MLP and a decision-tree technique on a training set, and compare the performance results on the same test set.
Which techniques is the best? Try to interpret the results.
6. Apply the K-Means, DBScan and Hierarchical Agglomerative on the dataset (same training and test sets as before) and compare the results.
Write down in a Word document every choice, remark and information and result you think is important…(Mandatory)
For steps 2 to 6, write Python codes.
(Code examples are provided for help)
Project ID: #22689868
About the project
Awarded to:
HI, I am Data Scientist and Machine Learning engineer. My area of interest is statistical analysis of datasets/images and apply ML/deep learning algorithm with python and R. I can intern your tasks. Please visit my g More
5 freelancers are bidding on average $49 for this job
Hello. I'm Chunzuo I read your description and understand what u need. Please contact with me to discuss more.
Hi, client. I read your project proposal carefully. I have 7+years experience in this field. My skill is as following: - C , C++, Matlab, Python - Web , Mobile design including serval frameworks - Data processing in More
Hello, I have read your post. I am really interested in doing it. I can assure 100% satisfaction in this job. I am a highly skilled designer & developer working on iOS, Android and web technologies for 4+ yea More