Deep Shah's starred repositories
HacktoberFest
:octocat: Add your Programs or tech content to help other contributors ✅
Disease-Detection-based-on-Symptoms
Information Retrieval (CSE 508) Project
university-domains-list-api
The API server for the University Domains
web-deep-learning-classifier
Deep Learning model to classify food (Web App)
Ai-Healthcare-Chatbot
see live demo of chatbot. follow the link
Multi_Disease_Predictor
A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
Disease-mortality-prediction
This is web application that uses machine learning to predict Hepatitis B mortality that is if a patient will live or die based on the parameters given. This app was build with Python and Flask
Emotion-Investigator
An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Android-nRF-Mesh-Library
The Bluetooth Mesh Provisioner and Configurator library.
Android-Nordic-Thingy
Android SDK and sample application for Nordic Thingy:52
kali-anonsurf
A port of ParrotSec's stealth and anonsurf modules to Kali Linux
adeolaadeoti-portfolio
My personal website
bchiang7.github.io
Third iteration of my personal website built with Jekyll
thelastprice.com.ng
A Nigerian online store price comparison website
Movie-Recommendation-System-with-Sentiment-Analysis
Content based movie recommendation system with sentiment analysis
fashion-recommendation
A clothing retrieval and visual recommendation model for fashion images.
Visualizing-Earnings-Basedon-College-Majors
This Project demonstrates my capabilities to handles and visualize the data using Python and Its different Libraries namely Pandas, Matplotlib
AutoRanking-Amazon-Reviews
Major Project For the final semester
Satellite-Image-Similarity
Major Project
PyBot-A-ChatBot-For-Answering-Python-Queries-Using-NLP
Pybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP for improving the efficiency of the chatbot. We will include voice feature for more interactivity to the user. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. NLTK has been called “a wonderful tool for teaching and working in, computational linguistics using Python,” and “an amazing library to play with natural language.The main issue with text data is that it is all in text format (strings). However, the Machine learning algorithms need some sort of numerical feature vector in order to perform the task. So before we start with any NLP project we need to pre-process it to make it ideal for working. Converting the entire text into uppercase or lowercase, so that the algorithm does not treat the same words in different cases as different Tokenization is just the term used to describe the process of converting the normal text strings into a list of tokens i.e words that we actually want. Sentence tokenizer can be used to find the list of sentences and Word tokenizer can be used to find the list of words in strings.Removing Noise i.e everything that isn’t in a standard number or letter.Removing Stop words. Sometimes, some extremely common words which would appear to be of little value in helping select documents matching a user need are excluded from the vocabulary entirely. These words are called stop words.Stemming is the process of reducing inflected (or sometimes derived) words to their stem, base or root form — generally a written word form. Example if we were to stem the following words: “Stems”, “Stemming”, “Stemmed”, “and Stemtization”, the result would be a single word “stem”. A slight variant of stemming is lemmatization. The major difference between these is, that, stemming can often create non-existent words, whereas lemmas are actual words. So, your root stem, meaning the word you end up with, is not something you can just look up in a dictionary, but you can look up a lemma. Examples of Lemmatization are that “run” is a base form for words like “running” or “ran” or that the word “better” and “good” are in the same lemma so they are considered the same.
voting-system-using-block-chain
Final Year Major Project