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acme-employee-attrition-analysis-and-prediction

About This project aims to provide insights into the factors influencing employee attrition and predict which employees are likely to leave the company.

airbnb-data-pipeline

anime-data-analysis

Explore the trends, genres, and ratings that shape the anime universe. From the most popular genres to the top-rated series, this project uncovers the hidden gems and fan favorites that define modern anime culture. Join us on a journey through data to discover what makes anime truly captivating!

collaborative-whiteboard

cv

dbt-snowflake

doc-appointment-system

Deployment of mernstack applocation

edudataflow

github-to-lambda

incremental-data-ingestion-pipeline

movie-recommender

Welcome to the Movie Recommender System! This application is built using Streamlit and leverages a pre-trained similarity model to recommend movies based on user selection. The app fetches movie posters using The Movie Database (TMDb) API to provide a visually appealing recommendation experience.

processed-doordash-data

rateit

The Movie Rating App is a user-friendly web application designed for movie enthusiasts to explore, rate, and review their favorite films. Leveraging modern web technologies and APIs, this app provides a seamless experience for users to manage their movie ratings and discover new films.

simple-etl

This project analyzes e-commerce data to provide insights into customer behavior and transactions.

spam_detection

Created using python implementing naive bayes algorithm

sql-database-query-assistant

Simplify your SQL database queries with our interactive assistant. Using natural language processing (NLP) and machine learning (ML), the assistant interprets your questions, generates SQL queries, and retrieves results from your MySQL database. The interface is user-friendly, and custom prompt templates ensure a seamless experience.