I need some data cleaning & mining work done. I have a solution in mind, but don't have time to do it properly.
I have a small dataset of attributes for some items.
Some items have common themes - so first I need help grouping those. This can be manually done, probably in 30 mins. (e.g. Item 1 = "Spa", Item 2 = "Spa Facilities" - common theme is "Spa")
Next, I need you to mine the data to identify groups (clusters) of items based on what attributes they have in common. I envision turning those common themes into one-hot vectors, running a PCA on them, then feeding that into a Kmeans algorithm. It's ok to use Scikit-learn, this is just a prototype.
The output has to be the (1) initial dataset with common themes as a new column, and cluster labels added as the last column, (2) code to replicate the work (so I could analyse further).
33 freelancers are bidding on average $422 for this job
I hope to see you in chat. Though I am new to freelancer.com I am an experienced python data science developer with full-stack knowledge and career. I'm sure I can do this perfectly. Thanks for your kind attention.
Hello! I am a python developer. I looked at your project and it seems interesting. I have all necessary skills required for this project. Ping me to discuss in detail.
Hello. I have good skills in Data Cleansing, Data Mining, Machine Learning, Python, Research. i have read your project description carefully and i can do it. Contact me please. Thank you..