AI - A Learning Based Approach For Predicting Heart Disease

Abstract Heart disease is a leading cause of mortality worldwide, and its early identification and risk assessment are critical for effective prevention and intervention. With the help of electronic health records (EHR) and a wealth of health-related data, there is a significant opportunity to leverage...

Data Engineering Process Fundamentals - An introduction to Data Analysis and Visualization

In this technical presentation, we will delve into the fundamental concepts of Data Engineering in the areas of data analysis and visualization. We focus on these areas by using both a code-centric and low-code approach. Follow this GitHub repo during the presentation: (Give it a star) https://github.com/ozkary/data-engineering-mta-turnstile Read...

Data Engineering Process Fundamentals - Unveiling the Power of Data Lakes and Data Warehouses

In this technical presentation, we will delve into the fundamental concepts of Data Engineering, focusing on two pivotal components of modern data architecture - Data Lakes and Data Warehouses. We will explore their roles, differences, and how they collectively empower organizations to harness the...

AI with Python and Tensorflow - Convolutional Neural Networks Analysis

Convolutional neural network (CNN) Convolutional Neural Networks (CNNs) have revolutionized the field of computer vision and image processing. These specialized deep learning models are inspired by the human visual system and excel at tasks like image classification, object detection, and facial recognition....

Data Engineering Process Fundamentals - Data Streaming Exersise

Data Streaming - Exercise Now that we've covered the concepts of data streaming, let's move forward with an actual coding exercise. During this exercise, we'll delve into building a Kafka message broker and a Spark consumer with the objective of having the Kafka message broker work as a data producer...