GitHub / Subrat1920 1 Repository
Subrat1920/customer-data-pusher
Language: Python - Size: 6.15 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

Subrat1920/Student-Marks-Mlops
Language: Jupyter Notebook - Size: 789 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Subrat1920/Subrat1920
Size: 14.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Subrat1920/AI-Medical-Assistant
AI-Medico-Chatbot is an intelligent conversational assistant tailored for the medical domain. It leverages Retrieval-Augmented Generation (RAG) with Pinecone and a large language model (LLM) from Groq to provide accurate and contextual responses based on domain-specific documents.
Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Subrat1920/Course-Recommendation
An end-to-end Course Recommendation System that uses deep learning for personalized suggestions. It combines popularity filtering, frequently bought-together logic, and top educator rankings. The system is built with Python and TensorFlow and deployed using Flask for real-time interaction.
Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 1

Subrat1920/Question-Answer-Chatbot
Language: Python - Size: 4.88 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Subrat1920/Anomaly-Detection-in-Network-Trafficking
Language: Jupyter Notebook - Size: 462 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Subrat1920/IMDB-Sentiment-Analysis
CineMood AI is an AI-powered movie review sentiment analysis tool built using Streamlit and TensorFlow. It classifies user-submitted movie reviews into different sentiment categories, ranging from extremely positive to strongly negative. The app features a sleek UI, animations, and an interactive confidence meter for better user engagement.
Language: Jupyter Notebook - Size: 92.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Subrat1920/Book-Recommendation-System
The Book Recommendation System is designed to provide personalized book suggestions to users based on their preferences and past interactions. Using popular-based filtering and collaborative filtering, the system helps users discover books they may enjoy. The project follows a modular coding approach, making it scalable and maintainable.
Language: Jupyter Notebook - Size: 55.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Subrat1920/IMDb-Movie-Sentiment-Analysis
Language: Jupyter Notebook - Size: 29.9 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Subrat1920/app-github-actions
Language: Python - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Subrat1920/Bankruptcy-Prevention
This is Classification Problem, which is used to check if the Company is going to Bankrupt.
Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Subrat1920/Canvas
Language: JavaScript - Size: 68.3 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Subrat1920/Catalyst-The-Expanse-Tracker
Catalyst is a comprehensive expense tracking web application designed to help users monitor their financial activities effortlessly. Built with modern web technologies, Catalyst provides an intuitive interface and insightful graphical representations, enabling users to make informed financial decisions. With a focus on simplicity and functionality,
Language: Python - Size: 1.79 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Subrat1920/Simple-RNN-Project
Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Subrat1920/DataScienceStudyMaterials
This repository contains all the required Data Science Materials, from basic to advance. With all the Machine Learning Algorithms, Natural Language Processing Techniques and Deep Learning Algorithms
Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Subrat1920/Breast-Cancer-Prediction
Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Subrat1920/mlflow_tutorial
Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Subrat1920/ExcelR-Assignments
This repository consists of all the assignments, from ExcelR Data Science Bootcamp. From statistical implantation to Deep Learning Methodologies.
Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Subrat1920/Chur-Modelling-Classification
Language: Jupyter Notebook - Size: 667 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Subrat1920/CertEase-Simplified-Certificate-Delivery
CertEase is a web application designed to streamline the process of certificate distribution. With CertEase, administrators can upload a CSV file containing student details, and the system will generate and deliver certificates to the students' email addresses effortlessly.
Language: Python - Size: 61.2 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Subrat1920/Churn-Modelling-Classification
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Subrat1920/AutoMLPrediction
AutoMLPrediction is a comprehensive, automated machine learning (AutoML) platform designed to simplify the process of building, training, and deploying machine learning models. The platform leverages state-of-the-art AutoML techniques to enable users, regardless of their technical expertise, to make accurate predictions from data effortlessly.
Size: 3.91 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Subrat1920/Customer-Relation-Management-App
Language: Python - Size: 21.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Subrat1920/Titanic-Survival-Prediction
The Titanic Survival Prediction App is a web-based application designed to predict the survival chances of passengers aboard the Titanic. Leveraging machine learning, the app analyzes key passenger details, such as age, gender, class, and fare, to determine the probability of survival.
Language: Python - Size: 188 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Subrat1920/Student-Performance-Indicator
Language: Jupyter Notebook - Size: 404 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Subrat1920/Covid19-Data-Visualization-Dashboard
Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Subrat1920/Kaggle_Datasets
This repository contains Datasets present in Kaggle and been cleaned, pre-processed and modelled
Language: Jupyter Notebook - Size: 347 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Subrat1920/test_forest_fires
Language: Jupyter Notebook - Size: 507 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Subrat1920/Customer-Segment-Analysis
Exploratory Data Analysis (EDA) is a necessary preliminary step before using a segmentation algorithm.
Language: Jupyter Notebook - Size: 541 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Subrat1920/UI-UX-E-Commerce-Website
Language: HTML - Size: 14.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Subrat1920/Quantium-Software-Engineering
Language: Python - Size: 81.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Subrat1920/Exploratory-Data-Analysis-EDA-on-Retail-Sales-Data
Language: Python - Size: 97.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Subrat1920/Credit-Card-Fraud-Detection
Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Subrat1920/Rotating-Cube
Size: 1000 Bytes - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
