Dipesh Joshi's repositories
Youtube-data-etl-project-using-apache-airflow
This project is an ETL project that extracts data from YouTube videos using the YouTube API. The extracted data includes video ID, title, like count, comment count, and comment text. The ETL process is orchestrated using Apache Airflow, and the transformed data is loaded into a CSV file, which is then stored in an AWS S3 bucket.
Simple-ETL-project-using-Airflow
This repository contains the source code and configurations for an Extract, Transform, Load (ETL) project implemented using Apache Airflow. The project focuses on extracting data from various file formats (CSV, TSV, fixed-width), applying basic transformations, and loading the processed data into another CSV file.
Knowlege-Graph
This is a small project to build knowledge graph from the text scrapped from articles published in "The Himalayan Times" website on the date 8/11/2023 .Beautifulsoup was used for scraping , Spacy for NLP processings,directed graph was built using networkx.
it-cert-automation-practice
Google IT Automation with Python Professional Certificate - Practice files
Resume_ranking_and_certificate_verification_system
This is a Resume Ranking and Certificate Verification System, which uses natural language processing techniques to rank resumes and verify certificates included in them. It compares job descriptions to resumes and ranks them based on their relevance to the job posting. It also verifies certificates through offline and online verification methods.
ML-Study-Guide
Minimal Machine Learning Study Plan
Udacity-Data-Engineering-Projects
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
Face-Recognition-System
This is a face recognition system developed using python which can recognize the face of people whose images are already trained. For the system we have used a pre trained model of 6 hollywood celebrities.
Movie-Recommendation-System
This is a basic movie recommendation based on clustering and similarity mapping.
Document-classification-system-
This is a simple AI based document classification system made using Multinomial Naive-Bayes algorithm. This system can classify pdf files to either AI related file or Web related file.
Face-Mask-Detection-system-using-yolov3
This is a face mask detection system developed using yolov3 and is capable of detecting face mask in image, video and live webcam.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Resume-Ranking-Application
Resume Recommendation System for Recruiters