-multimodal-product-recommendation

This repository contains the implementation of a Multi-Modal Attention based Siamese Network for unsupervised video rating prediction, as described in the paper "Towards Developing a Multi-Modal Video Recommendation System".

100doc-with-gfg

The repo will have solutions of all POTD from 15 Sept (Day 1)

2d-car-game-using-c-language-and-graphics.h-in-turboc-c-compiler

2d car game with different layouts like forest,city,village with different car color models where u can select any color any given layout and paly car game

abstractive-text-summarization

Implementation of abstractive text summarization using a transformer model, specifically the BAR model, fine-tuned on a subset of the CNN/Daily Mail dataset. The project includes steps to load and preprocess the dataset, define a custom PyTorch Dataset class, train the BART model, and evaluate the model using ROUGE scores.

ai-powered-content-recommendation-system

This project implements an AI-powered content recommendation system using a hybrid approach that combines collaborative filtering and content-based filtering. The system is designed to provide personalized content recommendations to users based on their interaction history and content features.

amazing-frontend_templates

Using Html Css and Javascript add whatever you want .... Designs of navbar , footers, landing pages , animations , one page websites , template with a parallax effect ,forms ,pop designs ,motion templates and many more .

android-dev-roadmap-

This is a roadmap for an Android developer designed for a beginner achieve basically a lot of basic needs required for skilling up with Android Dev.

android-developer-roadmap

Android Developer Roadmap - A complete roadmap to learn Android App Development

c-and-c--

car-rental-web-programming

car-rental-website

causal-movie-recommendation-system

A comprehensive movie recommendation system utilizing the MovieLens 1M dataset, integrating collaborative filtering, content-based methods, and causal inference techniques to generate accurate recommendations. Technologies used include Python, Pandas, NumPy, Scikit-learn, TensorFlow, SQL, and Apache Spark.

causal-reccomendation

code-editor

coding

Here you will find the code of every topic and in every language

connect4

JavaFX based Connect4 Game.

covid-app

This is a covid information app which gives the data of Active , Recovered and Deceased patients. Tracker App Using REST API & Volley in Android Studioh.

creating-among-us-character

This is created using turtle in python

credit-card-approval-prediction-model

credit-card-fraud

This project implements a machine learning model to detect fraudulent credit card transactions.

customer-churn-prediction-model

The Comprehensive Customer Churn Prediction Model is a machine learning pipeline for accurate churn prediction, featuring advanced preprocessing, EDA, feature engineering, model training, and interpretation. It uses models like XGBoost, LightGBM, and SHAP for insights and Optuna for tuning.

customer-segmentation-clustering

a customer segmentation model using K-means clustering to identify distinct customer groups based on purchasing behavior and demographics.

customer-segmentation-ps2

PS2 work for customer segmentation

cv-fashion-trend-analysis

This project utilizes computer vision and machine learning techniques to analyze fashion trends in real-time video streams.

darknet

Convolutional Neural Networks

data-machine-learning

dsa

Repo for Hacktoberfest-2021

dsa-ques

dynamic-e-commerce-bookstore

e-commerce-a-b-testing

This project simulates and analyzes an A/B test for an e-commerce website. It demonstrates advanced statistical analysis techniques, data visualization, and machine learning applications in the context of e-commerce optimization.