Isaac Ndirangu Muturi 's repositories
End_to_end_data_pipeline--Optimizing_Online_Retail_Analytics_with_Data_and_Analytics_Engineering
Developed an end-to-end data pipeline for optimizing Online Retail analytics. This includes leveraging Google Cloud services, using Terraform for Infrastructure as Code, and implementing CI/CD practices. The pipeline integrates transactional data into BigQuery for data modeling and transformation with dbt (Data Build Tool) and utilizes Looker Studi
Kitchenware-Image-Classification-System-with-Keras-Deploying-and-Testing-with-AWS-Lambda
Developed a Kitchenware Image Classification System using Keras, AWS Lambda, and TensorFlow Lite. The project focuses on automating the categorization of kitchenware items such as cups, forks, glasses, knives, plates, and spoons.
alx-low_level_programming
I am learning C programming in the ALX software engineering program
alx-system_engineering-devops
Learning System engineering Dev Ops from ALX SE Curricullum
EarlyHeart-Predictive-Modeling-for-Early-Heart-Disease-Detection
This project is a machine learning-based solution for predicting heart disease. It involves data analysis, model training, and deployment on AWS Elastic Beanstalk. The deployed application allows users to input patient data and receive predictions regarding the likelihood of heart disease.
Isaac-Ndirangu-Muturi-749
Welcome to my github page
Maze-Project---3D-Game-Using-Raycasting
3D Maze Game: Utilizes raycasting to render a 2D representation of a 3D maze environment. Starter This project is a 3D maze game implemented in C. It uses raycasting to render a 2D representation of a 3D maze environment. The game features player movement, collisions, textured walls, rain effects, and more.
Time-Series-Forecasting-for-Electric-Power-Consumption
This project employs time series forecasting on household electric power consumption data spanning 47 months. Using univariate modeling with Facebook Prophet, the analysis addresses missing values and extends to multivariate forecasting. Evaluation metrics such as RMSE and MAE gauge model performance.
Understanding-the-Amazon-from-Space---computer-vision--classification-
In our neural network project, we aimed to develop an effective model for classifying satellite images from the Planet dataset, which includes various environmental labels. We began by preprocessing the data, extracting unique labels, and utilizing transfer learning with a pre-trained model.
AirBnB_clone
The goal of this project is to deploy on myserver a simple copy of the AirBnB website.
data-engineering-zoomcamp
Free Data Engineering course!
Data_Engineering_Zoomcamp_2024
DE Zoomcamp is a comprehensive data engineering course that covers various aspects of building scalable and efficient data pipelines. The course provides a hands-on approach to learning key concepts, tools, and technologies used in the field of data engineering.
Data_Engineering_Zoomcamp_2024_2
DE Zoomcamp is a comprehensive data engineering course that covers various aspects of building scalable and efficient data pipelines. The course provides a hands-on approach to learning key concepts, tools, and technologies used in the field of data engineering.
FitBit_Tracker_Insights__Unveiling-Trends-in-Wellness-Technology-Consumer-Behavior
FitBit Tracker Insights: Analyzing Fitbit data to uncover trends in wellness technology consumer behavior using R programming on Kaggle.
mage-zoomcamp
This repository will contain all of the resources for the Mage component of the Data Engineering Zoomcamp: https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main
MLOps-zoomcamp-2024
MLOps ZoomCamp offers comprehensive training in Machine Learning Operations, covering deployment, monitoring, and management of ML models, fostering efficient deployment pipelines and robust production systems.
risingwave-data-talks-workshop-2024-03-04
DataTalks Workshop Materials
Zoomcamp-2023-Machine-Learning-Engineering-
learning machine learning engineering