Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
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Updated
Oct 13, 2023 - q
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Projects for Udacity Data Scientist Nanodegree
A news application in Android that offers the recommended, summarized news articles in as short and crisp format from multiple news sources per user’s choice. Key Features: Recommendation System Engine (gives recommended news articles), NLP Summarization (gives a 5 sentence summarized for each articles), Popularity-based Trending System (to stay…
Reccomender Sysstems with Sckit Surpirse
This is an implementation where content based and collaborative filtering recommendation methods are used for recommending courses.
Code for the project: "Analysis of Recommendation-systems based on User Preferences".
Machine learning concepts implemented in python.
Haro.ai Python Library
The project is a system that recommends books for users based on their preferences entered into the system. Data is based on GoodReads data source. The system also uses a decision tree as a method for choosing the best books for the user.
This repository has the solutions to multiple assignments done during the course on topics like supervised leering, deep learning
A recommendation system for products using PySpark
A platform to connect music lovers across the globe!!
Coded in python. This allows the user to which restaurants offer delicious food and are highly rated by the customers. Dataset is taken based on survey by people who went to the restaurant and gave their opinion about it.
Meal recommendation app, created during HackaTUM, that uses a hybrid recommendation system and combines React, FastAPI, and speech technologies for an enhanced, accessible user experience.
In this repository you will find all I learned in Machine Learning course from Stanford University. You can access to my completion certificate by clicking on the following link https://coursera.org/share/460d85edfd557a066eabc50320eb7749
Built a Recommender System is a system that seeks to predict or filter preferences according to the user’s choices.
🍿 Movie Recommendation App with Flask
In this project I used NLP to analyze a dataset containing each episode from the hit show "The Office" with my findings I used TF-IDF and the Cosine Similarity to build a recommendation engine based on whether or not 'Micheal' and 'Dwight' appeared in the episode.
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