Text-Mining-with-TF-IDF-and-Cosine-Similarity

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.

Portfolio Project.ipynb and Recommendation.py are the finalized Jupiter notebook scripts for this project. Other files are a work in progress to migrate into a web app.

Recipe Genie is a recipe recommendation system that recommends recipes to users based on the ingredients they have at home.

PyTorch implementation of important functions for WAIL and GMMIL

The point is to investigate three types of classifiers (linear classifier with feature selection, linear classifier without feature selection, and a non-linear classifier) in a setting where precision and interpretability may matter.

This is support plugin and the scrapper code for the Information Retrieval (CSE508) Academic Project 2020.

This repository implements a 3-layer neural network with L2 and Dropout regularization using Python and NumPy. It focuses on reducing overfitting and improving generalization. The project includes forward/backward propagation, cost functions, and decision boundary visualization. Inspired by the Deep Learning Specialization from deeplearning.ai.

Q&A chatbot powered by a Retrieval-Augmented Generation (RAG) approach to provide answers to neural network-related questions.

Information Retrieval Lab

This repository contains the code for the blog post on Understanding L1 and L2 regularization in machine learning. For further details, please refer to this post.