Aziz Bohra's Projects
AI workshop code
This project showcases an Apache Airflow-based data pipeline integrating GCP Bucket, BigQuery, Soda, and dbt. It highlights process efficiency improvement, providing a comprehensive guide and code for scalable data management solutions
This project is a computer graphics implementation of the Royal Mint of Spain, inspired by the popular TV show "La Casa De Papel" (Money Heist). The project is developed in C programming language and aims to create a visual representation of the iconic building.
"Smart City Streaming" is a real-time data processing project that simulates a smart city environment. It utilizes IoT devices, Apache Zookeeper, Apache Kafka, Apache Spark, Docker, Python, AWS Cloud services, and PowerBI to cover each phase from data ingestion to processing and finally storage and visualization.
GitHubβs official command line tool
Cheat Sheets
codes practiced while doing this course https://www.udemy.com/course/the-data-science-course-complete-data-science-bootcamp/
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
This repository contains a Python-based implementation for detecting driver drowsiness using Haar Cascade files for face and eye detection, along with a deep learning model for predicting drowsiness. The system utilizes the Eye Aspect Ratio (EAR) to monitor the driver's eye openness and provide timely alerts.
An interactive Tableau dashboard analyzing the intense rivalry between Lewis Hamilton and Max Verstappen during the 2021 Formula 1 season. Explore their head-to-head battles, race performances, and championship standings.
Highly Subjective Roadmap to Flutter Development
The notebook is developed referring the book Oreilly' Hands-On Machine Learning with Scikit-Learn, Keras and Tensor Flow: Concepts, Tools and Techniques to Build Intelligent Systems by Aurelien Geron
This project encompasses various stages, including data preprocessing, exploratory data analysis, and the application of advanced machine learning algorithms. By employing techniques such as feature engineering and model optimization, the HCDR project aims to enhance the accuracy and efficiency of loan default predictions
π Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Market Momentum showcases a real-time analytics pipeline for stock market data using Apache Kafka and a suite of AWS services. Following the less-code-more-configuration philosophy, the project emphasizes the setup and tuning of cloud resources to efficiently process, store, and analyze high-velocity financial data.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
OSTL PRACS (source codes)
This project utilizes PySpark, a fast and scalable data processing framework, to develop a predictive model for wine quality.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media