ETL Pipeline
In this project we create a ETL pipeline.
Real-time fraud detection system using Apache Kafka & Apache Spark
The system will use Kafka to stream data from a variety of sources, such as credit card transactions and social media posts. Spark will then be used to process the data and identify any fraudulent activity.
Data Engineering with SQL
This project builds a robust ETL (Extract, Transform, Load) process using SQL. Let’s dive into the emotions behind the scenes as we engineer a data pipeline to handle this crucial task.
Spark Data Engineering Project
Spark data engineering project centers around unraveling the enigmatic secrets concealed within the vast volumes of customer data. Prepare to witness the transformative power of Spark as it reveals the hidden truths of customer behavior.
Getting Started with Spark
This project walks through a real-world Spark data engineering project. It usses Spark to extract data from a CSV file, clean and transform the data, and load it into a MySQL database.
Building a Kafka Pipeline
In this article, we will dive deep into the concept of a Kafka pipeline, exploring its significance, architecture, and implementation.
ETL Pipeline Using Airflow
This project shows how to create an ETL pipeline using Airflow to extract weather data from a CSV file, transform it, and load it into a PostgreSQL database.
Diabetes Disease Detection
This project applies Regression techniques to predict the presence of diabetes in a person, and compares the classification accuracies of each model.
Sentiment Analysis to Detect Book Genre
This project utilizes sentiment analysis techniques to detect the genre of a book, enabling efficient classification based on the analysis of textual reviews and feedback.
Comparative Analysis of Machine Learning Libraries
A comparative analysis of Keras on TensorFlow and PyTorch.
Online Payment Fraud Detection
In this project, we implement and compare various machine learning models for the detection of online payment fraud, aiming to identify the most effective solution through comparative analysis.
Building a Flask CRUD Application with Psycopg2
This project demonstrates the development of a Flask CRUD application utilizing the Psycopg2 library, enabling efficient management of data through a user-friendly interface.
Implementation and Comparison of Running Complexity Among Different Data Search Algorithms
This project aims to implement and compare the running complexity of various data search algorithms, providing insights into their efficiency and performance in different scenarios.