Grocery Recommendation on Instacart Data
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Updated
Mar 14, 2023 - Jupyter Notebook
Grocery Recommendation on Instacart Data
Classification of emails received on a mass distribution group
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
This is the Movie Recommendation System project using a Content-Based recommender system trained on more than 5000 movies for generating movie recommendations based on user search.
A web-app which can be used to get recommendations for a series/movie, the app recommends a list of media according to list of entered choices of movies/series in your preferred language using Python and Flask for backend and HTML, CSS and JavaScript for frontend.
A Naive Bayes spam/ham classifier based on Bayes' Theorem. A bunch of email subject is first used to train the classifier and then a previously unseen email subject is fed to predict whether it is Spam or Ham.
Created Hate speech detection model using Count Vectorizer & XGBoost Classifier with an Accuracy upto 0.9471, which can be used to predict tweets which are hate or non-hate.
Assignment-11-Text-Mining-01-Elon-Musk, Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv), Text Preprocessing: remove both the leading and the trailing characters, removes empty strings, because they are considered in Python as False, Joining the list into one string/text, Remove Twitter username handles from a given twitter …
Spam Detection – Cluster SMS messages to “Spam” and “Ham” (Kaggle Challenge)
Practice Rust by making Vectorizer
Natural Language Processing (NLP) applied to over 200,000 subreddit submissions to correctly identify subset containing suicidality with applications for advancing clinical suicide prevention research.
Graduation Project/Sentiment Analysis in Turkish Film Reviews
Fake News Detection
NLP: Sentiment Analysis or Emotion Mining on Amazon Product Reviews - Part-1. Let’s learn the NLP techniques to perform Sentiment Analysis or Emotion Mining on extracted Product Reviews from Amazon. Part-1 covers Text preprocessing and Feature extraction, the next part covers Sentiment Analysis or Emotion Mining on text corpus. https://medium.co…
The purpose of this analysis is to build a prediction model to predict whether a review on the restaurant is positive or negative
To what extent a resume is matching a job add requirements, description? What are the most similar applications?
What is the difference between a data scientist and a data analyst? An NLP approach.
This competition is hosted by Kaggle https://www.kaggle.com/c/nlp-getting-started/overview. I participated in the competition in order to try my hands on the field of Artificial Intelligence known as Natural Language Processing.
SPAM/HAM Classifier using Naive Bayes
Hire the Perfect candidate. HackerEarth Competitions solution.
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