Prince Singh Yadav's Projects
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".
The repo will have solutions of all POTD from 15 Sept (Day 1)
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
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.
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.
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 .
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 - A complete roadmap to learn Android App Development
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.
Here you will find the code of every topic and in every language
JavaFX based Connect4 Game.
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.
This is created using turtle in python
This project implements a machine learning model to detect fraudulent credit card transactions.
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.
a customer segmentation model using K-means clustering to identify distinct customer groups based on purchasing behavior and demographics.
PS2 work for customer segmentation
This project utilizes computer vision and machine learning techniques to analyze fashion trends in real-time video streams.
Convolutional Neural Networks
Repo for Hacktoberfest-2021
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.