Maruthi_17's repositories
AI-Document-Retrieval-Using-Llama
This project implements an AI-powered pipeline to retrieve relevant document chunks and answer user queries based on PDF documents.
Bike-Sharing
MotorCycle sharing is a machine learning case study used to predict the demand for bikes in certain areas. It involves predicting the number of bikes available at a given time, and then adjusting the supply accordingly. Data such as weather, time of day, and the number of bikes already in use are used to make the predictions.
Comment-Toxicity
Project is all about build a deep learning model to identify toxic comments using LSTM
Credit-EDA-CaseStudy
Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.
Google-Play-Store-Reviews
This is the repository for the Data Engineering Project done in Azure Databricks
IPL_Analysis_R
This GitHub repository contains R code for analyzing Indian Premier League (IPL) data. The repository also includes a detailed report explaining the results and insights gained from the analysis. It is a great resource for anyone interested in understanding the performance of teams and players in the IPL using data science tools.
NYC_Green_Taxis_Peak_Hour_Analysis
This project analyzes GCP BigQuery data and uses Looker Studio to build a Peak Hour Analysis.
Olympics-DE-Project
This is the repository for the Data Engineering Project in Azure
ToDo-App-Backend-with-FastAPI-
The ToDo API Project is a RESTful API built using FastAPI and SQLAlchemy. It provides CRUD operations for managing ToDo items, using an SQLite database for storage. This project showcases how to implement a simple and efficient task management system with modern Python tools. Perfect for learning FastAPI, SQLAlchemy, and building scalable APIs.
chdl17.github.io
My Portfolio
IMDB-Assignment
This GitHub repository contains a project that performs an analysis of the IMDb movie rating dataset. The data is used to explore the relationships between various features and the movie rating. Visualizations are used to illustrate the results of the analysis. The code is organized into a Jupyter Notebook file and data files.
Lead-Score-Case-Study
Lead scoring is the process of assigning a numerical value or score to each lead, based on factors such as demographics and behavior, to determine their potential value as customers.
MarvelVsDC
This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.
NewChic_Retail
This GitHub repository contains R code for analyzing retail analysis with the count dependent variable.
URL-HTTP-Requests
How to use Request in python to fetch data from URL