Create a python application, plotting datasets (comparing), word cloud, twitter streaming api, scatter graphs comparing months, clustering algorithm, k means, finding facts and statistics on road traffic accidents, use SPARQL ENGINE + RDF FRAMEWORK Highlighting the map with numbers and percentages, predicting liklihood algorithms. Study the requirements and build me an application that is connected to a database and you can retrieve queries from that database which updates the contents of the application. I need report analysis with machine learning and you and me will work to find relevant material that is similar. Word cloud associated with the topic of road traffic accidents. Python based and looking for patterns within R Studio, month by month scatter graphs comparisons.
Also consists of creating two logins one for registered users and guest and an artificial search like google predicting what the user types. And creating a section with the most searched areas. In the design I will have a navigation panel below and that will update the graph automatically to narrow the search. Please read entire requirements we can discuss this further.
16 freelancere byder i gennemsnit £486 på dette job
Hi, I am expert in Machine learning. I did scatter graphs comparing months, clustering algorithm, k means, finding facts and statistics on road traffic accidents previously. I can help you with high quality. Thanks.
dear Sir, I can do this project. I have 5-year experience in programming, I can assure you that if you work with me once, you will always work with me for these kinds of projects.
Hello i have vast knowledge on the topic which can help me get the work done perfectly and on time. i am looking forward to working with you. Evans Regards
"Quality is Not an Act it is a Habit" I believe that my experience and skill in this background will prove to be of great help to you. Contact me to discuss more on the details
Hello. I have good skills in Python and R Programming. Contact me please. Thanks...............................................................................