Tejashri Rajendra Pathak's starred repositories
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLM-As-Chatbot
LLM as a Chatbot Service
Data-Science-Interview-Preperation-Resources
Resoruce to help you to prepare for your comming data science interviews
Practical-Machine-Learning
Practical machine learning notebook & articles covers the machine learning end to end life cycle.
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
free-data-engineering-course-for-beginners
Learn the entire ETL process based on Spotify API data
e2e-data-engineering
An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.
Data-Engineering-track-with-Python
All Data Engineering notebooks from Datacamp course
Building-Recommender-Systems-with-Machine-Learning-and-AI
Building Recommender Systems with Machine Learning and AI, published by Packt
aws-data-engineering
Resources for the free AWS Data Engineering course on youtube
data-engineering-nanodegree
notebooks produced throughout the Udacity's Nanodegree Data Engineering Course
RedditDataEngineering
This project provides a comprehensive data pipeline solution to extract, transform, and load (ETL) Reddit data into a Redshift data warehouse. The pipeline leverages a combination of tools and services including Apache Airflow, Celery, PostgreSQL, Amazon S3, AWS Glue, Amazon Athena, and Amazon Redshift.
DSA-Together-HacktoberFest
DSA-Together is a collection of python solutions for problems from DSA-450 Sheet by Love Babbar , Leetcode Sheet by Fraz , important algorithms and concepts necessary for becoming an excellent programmer .
University-of-Minnesota-Recommender-System-Specialization
Repository for the Honor Track of Recommender Systems Specialization from University of Minnesota on Coursera
aws-data-engineering
Course Material Data Engineering on AWS Course
data-pipeline-automation-with-github-actions-4503382
This repo is for LinkedIn Learning course: Data Pipeline Automation with GitHub Actions
sql-for-data-engineering-course
sql-for-data-engineering-course
IBM-DevOps-and-Software-Engineering
All assignments from the 13 courses in the "IBM DevOps and Software Engineering Professional Certificate" on Coursera.
Japan-visa-data-engineering
This project provides an end-to-end data processing and visualization of visa numbers in Japan using PySpark and Plotly. The spark clusters are set up within a Docker container on Azure.
YoutubeAnalytics
An end-to-end data engineering pipeline that fetches real-time YouTube analytics and streams them through Kafka for processing with ksqlDB. The processed analytics data is then sent to Telegram for real-time notifications.
using-large-datasets-with-pandas-4467955
This repo is for linkedin learning course: Using Large Datasets with pandas