Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.

python ETL framework

For this project I am creating an ETL (Extract, Transform, and Load) pipeline using Python, RegEx, and SQL Database. The goal is to retrieve data from different sources, clean and transform it into a useful format and finally load the data into an SQL database where the data is ready for further analysis. The result is an established automated p…

Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake

3NF-normalize Yelp data on S3 with Spark and load it into Redshift - automate the whole thing with Apache Airflow

This is a sentimental analysis project that aims to provide a better insight on customers' satisfaction based on comments gathered (scrapped) from social media using google's Bert classification model.

Udacity nd027 Data Modeling with Postgres

Extractor of Ethereum data to Dgraph format, utilities to analyse the indexed data.

ETL and analysis of trends in product review data from Amazon Vine.

A ETL group project investigating eSports earnings

Data engineering project in Python to perform ETL and CRUD operations on 2M+ Yelp reviews, and 2 cities’ housing data using Pandas, SQLAlchemy, NumPy, PrimaryKeys.

This repository contains OLTP, ETL process (using Pentaho Data Integration), and OLAP of credit card dataset. The dataset is taken from Kaggle (https://www.kaggle.com/rikdifos/credit-card-approval-prediction) and part of author Capstone Project.

I made various data normalization operations with python scripts. Target data in CSV format

This repository contains code for building a Data Warehouse from scratch. I started with the elicitation process, then used functional dependencies for conversion to GOM4DW schema, followed by conversion to Star Schema to find out different facts and dimensions and lastly I implemented the ETL process. I have used HTML and flask to provide a use…

Team project performing ETL on 2020 U.S. Election data, using jupyter notebook, PostgreSQL, and quickDBD.

a data warehouse for an online course shop

CryptoMundo is a simple and easy tool to analyze cryptocurrency data in real time which provides a simple and informative dashboard.

Sugar candy for data scientist. Easy manipulation in time-series data analytics works.

Desafio de Ciência de Dados para a Análise Macro, utilizando R, Markdown e LaTeX.

Scraping BooksToScrape (P2 OC D-A Python) : Utiliser les bases de Python pour l'analyse de marché