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- REPORT KEYWORDS REFERENCE LIST
- ##Machine Learning
- 1. Introduction to ML
- 2. Supervised learning in ML
- 4. decision tree algorithm
- 3. Natural language processing (book = https://www.pdfdrive.com/natural-language-processing-with-pytorch-build-intelligent-language-applications-using-deep-learning-e188037921.html) ""4 chapters from the book"
- 4. NLP - Word level analysis
- (https://www.tutorialspoint.com/natural_language_processing/natural_language_processing_word_level_analysis.htm)
- 5. NLP - Syntactic analysis (https://www.tutorialspoint.com/natural_language_processing/natural_language_processing_syntactic_analysis.htm)
- 6. NLP - Semantic analysis (https://www.tutorialspoint.com/natural_language_processing/natural_language_processing_semantic_analysis.htm)
- ### add these three pages after chapter 2 of the book
- 7. NLTK Python library (https://www.nltk.org/) #have to write about tokenization, stemming and parsing)
- ## Infermedica Symptoms checker
- 1. Introduction (https://developer.infermedica.com/docs/introduction)
- 2. Medical content(https://developer.infermedica.com/docs/content)
- 3. API version 3 (this is the API version used in the project)
- 4 copy from the documentation till "explain" endpoint(https://developer.infermedica.com/docs/v3/quickstart)(except redflag)
- * Quickstart
- * Basics
- * Medical concepts
- * Suggest related concepts
- * NLP
- * Diagnosis
- * Triage
- * Specialist recommender
- * Rationale
- * Explain
- ## web application
- 1. framework (https://www.netguru.com/blog/what-is-react-js)
- 2. https://blog.logrocket.com/mern-stack-tutorial/
- 3. https://developer.mozilla.org/en-US/docs/Learn/Getting_started_with_the_web/How_the_Web_works
- #### topics to be covered from the above links
- * How the Web works
- * HTML
- * CSS
- * Javascript
- * Web forms
- 4. working of web application (https://www.indeed.com/career-advice/career-development/what-is-web-application)
- #### topics to be covered from the above link
- * How does a web application works
- ##Android
- 1. kotlin programming language
- 2. SDK (https://www.geeksforgeeks.org/android-app-development-fundamentals-for-beginners/) android theory
- ## DATABASE
- 1. what is database? (https://www.oracle.com/database/what-is-database/)
- 2. CRUD Operations (https://www.sumologic.com/glossary/crud/)
- MongoDB (https://petamindz.com/connecting-remotely-to-a-mongo-database-on-a-vps/)
- write something about the MongoDB database and its crud operations
- reference link (https://www.ccs.neu.edu/home/kathleen/classes/cs3200/20-NoSQLMongoDB.pdf)
- caution: Don't copy the ppt slide as exact. write down the material in it into the proper sentenced format and use graphs and images if needed.
- ##SERVER
- basic theory (https://www.computerhope.com/jargon/s/server.htm)
- 1. digital ocean sever (https://www.digitalocean.com/community/tutorials/initial-server-setup-with-ubuntu-20-04)
- 2. sever specification
- * 1GB RAM
- * 25 GB STORAGE
- * Ubuntu based
- 3. reverse proxy (https://stackoverflow.com/questions/51858725/nginx-proxy-pass-to-https)
- ##TOOLS AND RESOURCES USED IN THE PROJECT
- = write the tool mentioned in the synopsis and search it on the web.
- ## working and deployment of the whole project:
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